Участник:StasFomin/Bookmarks/Algorithms — различия между версиями
Материал из DISCOPAL
StasFomin (обсуждение | вклад) (Добавлена закладка jsCoq – Use Coq in Your Browser) |
StasFomin (обсуждение | вклад) (Добавлена закладка Единая нейросетевая модель кредитного скоринга / Хабр) |
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| (не показано 197 промежуточных версий этого же участника) | |||
| Строка 1: | Строка 1: | ||
| + | == 2024 == | ||
| + | |||
| + | === 2024-05 === | ||
| + | |||
| + | * 2024-05-21, 21:45:24: [https://habr.com/ru/companies/alfa/articles/748824/ Единая нейросетевая модель кредитного скоринга / Хабр] | ||
| + | |||
| + | === 2024-04 === | ||
| + | |||
| + | * 2024-04-18, 03:27:43: [https://arxiv.org/abs/2104.00480 (2104.00480) Idris 2: Quantitative Type Theory in Practice] | ||
| + | |||
| + | === 2024-03 === | ||
| + | |||
| + | * 2024-03-28, 16:34:00: [https://docs.google.com/spreadsheets/d/1ioHOHnPrcj6qBrsxotYVeVJVlkqHj2GD/edit?pli=1#gid=1316239506 статус курсы.xlsx - Google Sheets] | ||
| + | *: <html><br><br></html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2024-03-20, 19:14:22: [https://github.com/sheryl-ai/MVGCN sheryl-ai/MVGCN: Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)] | ||
| + | * 2024-03-03, 19:22:07: [https://sysblok.ru/knowhow/kak-ustroena-nejroset-bert-ot-google/ Как устроена нейросеть BERT от Google - Системный Блокъ] | ||
| + | * 2024-03-03, 19:13:07: [https://github.com/LeorFinkelberg/Optimization LeorFinkelberg/Optimization] | ||
| + | |||
| + | === 2024-02 === | ||
| + | |||
| + | * 2024-02-27, 20:55:59: [https://vk.com/video-176869000_456239030 Video005 — Видео] | ||
| + | |||
| + | === 2024-01 === | ||
| + | |||
| + | * 2024-01-27, 07:22:19: [https://github.com/MykolaHerasymovych/Optimizing-Acceptance-Threshold-in-Credit-Scoring-using-Reinforcement-Learning/blob/master/Source/simulation.py Optimizing-Acceptance-Threshold-in-Credit-Scoring-using-Reinforcement-Learning/Source/simulation.py at master · MykolaHerasymovych/Optimizing-Acceptance-Threshold-in-Credit-Scoring-using-Reinforcement-Learning] | ||
| + | * 2024-01-27, 07:05:06: [https://habr.com/ru/companies/glowbyte/articles/519382/ ML и DS оттенки кредитного риск-менеджмента / Хабр] | ||
| + | * 2024-01-27, 02:47:46: [https://bijournal.hse.ru/data/2015/10/12/1076342406/2.pdf BI 3 (33) 2015 new.indd - 2.pdf] | ||
| + | * 2024-01-26, 03:06:01: [https://habr.com/ru/companies/yandex/articles/263991/ Вероятностное программирование / Хабр] | ||
| + | * 2024-01-21, 03:00:34: [https://github.com/fast-algos/graphs-matrices-optimization/blob/master/lecture1.pdf graphs-matrices-optimization/lecture1.pdf at master · fast-algos/graphs-matrices-optimization] | ||
| + | * 2024-01-21, 02:53:24: [https://github.com/ChrisTX/lecture-notes/tree/7726d59c6caeaa7ac874cbc1fb1e08353bfd98f3/Approximation%20Algorithms lecture-notes/Approximation Algorithms at 7726d59c6caeaa7ac874cbc1fb1e08353bfd98f3 · ChrisTX/lecture-notes] | ||
| + | * 2024-01-20, 00:29:21: [https://github.com/tlkahn/zkSNARKs-Cryptography-Protocol-Survey tlkahn/zkSNARKs-Cryptography-Protocol-Survey] | ||
| + | * 2024-01-20, 00:23:51: [https://github.com/prokls/theoretical-computer-science-2/blob/master/randomized_complexity_classes.pdf theoretical-computer-science-2/randomized_complexity_classes.pdf at master · prokls/theoretical-computer-science-2] | ||
| + | * 2024-01-19, 23:12:56: [https://zhuanlan.zhihu.com/p/37270132 Теорема PCP, часть 1: Введение - Чжиху] | ||
| + | * 2024-01-19, 23:07:56: [https://github.com/mourad1081/complexity-exam-questions mourad1081/complexity-exam-questions: Réponse aux questions de complexité] | ||
| + | * 2024-01-19, 23:06:42: [https://github.com/LucaCappelletti94/lectures-notes/tree/0b0550ee36eab19d0d48f74e407beee1e5a3e78f/Unimi/Algoritmi%20e%20Complessita lectures-notes/Unimi/Algoritmi e Complessita at 0b0550ee36eab19d0d48f74e407beee1e5a3e78f · LucaCappelletti94/lectures-notes] | ||
| + | * 2024-01-19, 22:51:02: [https://github.com/BrownAppliedCryptography/notes BrownAppliedCryptography/notes: Scribed course notes.] | ||
| + | * 2024-01-19, 22:49:27: [https://github.com/mnielsen/expander_graph_notes mnielsen/expander_graph_notes: Notes on expander graphs] | ||
| + | * 2024-01-19, 22:48:32: [https://github.com/pragmaticTNT pragmaticTNT] | ||
| + | * 2024-01-19, 22:43:13: [https://github.com/mnielsen/expander_graph_notes/blob/193880dde69c1aa2bdf974a4975a0b960a278575/expanders_github.tex expander_graph_notes/expanders_github.tex at 193880dde69c1aa2bdf974a4975a0b960a278575 · mnielsen/expander_graph_notes] | ||
| + | * 2024-01-19, 02:36:35: [https://github.com/sleepymalc/Notes/blob/7e28b1c548da109b7e89a62acc6ed1076841352c/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation/Lectures/lec_2.tex Notes/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation/Lectures/lec_2.tex at 7e28b1c548da109b7e89a62acc6ed1076841352c · sleepymalc/Notes] | ||
| + | * 2024-01-19, 02:16:16: [https://github.com/sleepymalc/Notes/tree/7e28b1c548da109b7e89a62acc6ed1076841352c/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation Notes/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation at 7e28b1c548da109b7e89a62acc6ed1076841352c · sleepymalc/Notes] | ||
| + | * 2024-01-19, 01:41:18: [https://github.com/arielgabizon/Lectures/blob/master/4elemproofAarhus2019.pdf Lectures/4elemproofAarhus2019.pdf at master · arielgabizon/Lectures] | ||
| + | * 2024-01-19, 01:10:29: [https://github.com/Landarzar/complexityPoster/blob/master/poster.pdf complexityPoster/poster.pdf at master · Landarzar/complexityPoster] | ||
| + | * 2024-01-19, 00:54:25: [https://github.com/jarrodmillman/pcp/blob/master/final.tex pcp/final.tex at master · jarrodmillman/pcp] | ||
| + | * 2024-01-18, 22:17:49: [https://github.com/SanskarX10/Coding-Graph-Theory-101/tree/main SanskarX10/Coding-Graph-Theory-101: Coding and explanation of Graph theory algorithms used in computer science in python-3 . These set of notebooks acts as a course in graph theory.] | ||
| + | * 2024-01-18, 22:16:14: [https://github.com/rjwrobel86/Python4Statistics/tree/main rjwrobel86/Python4Statistics: Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!] | ||
| + | * 2024-01-18, 22:04:34: [https://github.com/hishamcse/Discrete-Math-Specialization-Coursera-/tree/master hishamcse/Discrete-Math-Specialization-Coursera-: This repository contains the materials, python codes for the quiz and some codes implemented using jupyter notebook related to the specialization ( Introduction to Discrete Mathematics In Computer Science)] | ||
| + | * 2024-01-18, 21:52:09: [https://github.com/i40a/python-for-industry40 i40a/python-for-industry40: Jupyter Notebook files from the course Python for Industry 4.0.] | ||
| + | * 2024-01-18, 21:50:24: [https://github.com/kylebeggs/Numerical-Methods-in-Python kylebeggs/Numerical-Methods-in-Python: A collection of Python notebooks covering topics in an undergraduate Numerical Methods in Engineering course.] | ||
| + | * 2024-01-18, 21:49:05: [https://github.com/sslotin/universum-dl sslotin/universum-dl: Some notebooks from a Deep Learning mini-course taught in Summer '18] | ||
| + | * 2024-01-18, 21:43:06: [https://github.com/ali-tny/boyd-convex-optimisation-py ali-tny/boyd-convex-optimisation-py: homework notebooks for the Stanford Convex Optimisation course in python (rather than Matlab)] | ||
| + | * 2024-01-18, 21:40:45: [https://github.com/Novota15/fourier-transforms-in-python Novota15/fourier-transforms-in-python: A jupyter python notebook that provides a crash course on Fourier Series, Fourier Transforms, Fast Fourier Transforms, and improving Chebyshev Interpolation with FFT] | ||
| + | * 2024-01-18, 21:37:53: [https://github.com/nivkeren/computational-methods nivkeren/computational-methods: computational-methods course notebooks] | ||
| + | * 2024-01-18, 21:36:24: [https://github.com/ptah23/audio-transformers-course-notebooks ptah23/audio-transformers-course-notebooks: Python notebooks for hugging face audio transformers course] | ||
| + | * 2024-01-18, 21:31:16: [https://github.com/iutzeler/refresher-course iutzeler/refresher-course: Jupyter Notebooks for practical sessions of the "Refresher Course in Matrix Analysis and Numerical Optimization" at Université Grenoble Alpes] | ||
| + | * 2024-01-18, 21:30:20: [https://github.com/codeninja55/mathematic_notebooks/tree/master codeninja55/mathematic_notebooks: A repository store for all mathematic references, jupyter notebooks, and notes from various courses taken.] | ||
| + | * 2024-01-18, 21:26:26: [https://github.com/juanklopper/Linear-algebra-for-data-science-with-python/tree/master juanklopper/Linear-algebra-for-data-science-with-python: Jupyter notebooks for my course on linear algebra using symbolic python.] | ||
| + | * 2024-01-18, 21:19:14: [https://github.com/Milwa97/A-level-math Milwa97/A-level-math: A level math course in form of jupyter notebooks. The aim of the course is to develop mathematical intuition and a better understanding of mathematics at the post-elementary level] | ||
| + | * 2024-01-18, 21:18:21: [https://github.com/aezarebski/aas-extended-examples aezarebski/aas-extended-examples: A collection of notebooks used in the tutorials for the applied analytic statistics course in 2020] | ||
| + | * 2024-01-18, 21:17:45: [https://github.com/raghurama123/NumericalMethods raghurama123/NumericalMethods: Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.github.io/teaching.html)] | ||
| + | * 2024-01-18, 21:16:47: [https://github.com/ymlai87416/ComputationalFinance_notebook ymlai87416/ComputationalFinance_notebook: Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot] | ||
| + | * 2024-01-18, 21:13:14: [https://github.com/Unipisa/HLT Unipisa/HLT: Notebooks for course HLT] | ||
| + | * 2024-01-18, 21:13:01: [https://github.com/Pengyue-Lab/uiuc-cs357-fa21-scripts Pengyue-Lab/uiuc-cs357-fa21-scripts: A repository of useful scripts for the course CS357 in the form of Jupyter Notebook.] | ||
| + | * 2024-01-18, 21:10:36: [https://github.com/inducer/numpde-notes inducer/numpde-notes: Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs] | ||
| + | * 2024-01-18, 21:09:14: [https://github.com/iutzeler/NumericalOptimization/tree/master/Lab2_GradientDescent NumericalOptimization/Lab2_GradientDescent at master · iutzeler/NumericalOptimization] | ||
| + | * 2024-01-18, 21:05:56: [https://github.com/garth-wells/IA-maths-Jupyter/tree/master garth-wells/IA-maths-Jupyter: Notebooks in support of of the Part IA (Michaelmas Term) mathematics course at the Department of Engineering at University of Cambridge] | ||
| + | * 2024-01-18, 21:00:16: [https://github.com/SSQ/Coursera-Stanford-Greedy-Algorithms-Minimum-Spanning-Trees-and-Dynamic-Programming SSQ/Coursera-Stanford-Greedy-Algorithms-Minimum-Spanning-Trees-and-Dynamic-Programming: Notebook for quick search] | ||
| + | * 2024-01-18, 20:58:40: [https://github.com/inducer/numerics-notes/tree/main inducer/numerics-notes: Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing] | ||
| + | * 2024-01-18, 19:50:42: [https://github.com/croach/oreilly-matplotlib-course croach/oreilly-matplotlib-course: Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"] | ||
| + | * 2024-01-18, 19:50:04: [https://github.com/z4ir3/finance-courses z4ir3/finance-courses: Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)] | ||
| + | * 2024-01-18, 19:49:32: [https://github.com/jansenicus/www-coursera-downloader jansenicus/www-coursera-downloader: This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.] | ||
| + | * 2024-01-18, 19:48:16: [https://github.com/fastai/numerical-linear-algebra-v2 fastai/numerical-linear-algebra-v2: Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program] | ||
| + | * 2024-01-18, 19:47:48: [https://github.com/yourwanghao/CMUComputationalPhotography yourwanghao/CMUComputationalPhotography: Jupyter Notebooks for CMU Computational Photography Course 15.463] | ||
| + | * 2024-01-18, 19:45:02: [https://github.com/lmarti/evolutionary-computation-course lmarti/evolutionary-computation-course: Jupyter/IPython notebooks about evolutionary computation.] | ||
| + | * 2024-01-18, 19:43:06: [https://github.com/mandli/intro-numerical-methods mandli/intro-numerical-methods: Jupyter notebooks and other materials developed for the Columbia course APMA 4300] | ||
| + | * 2024-01-17, 19:39:02: [https://github.com/ageron/tf2_course ageron/tf2_course: Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course] | ||
| + | * 2024-01-17, 19:33:55: [https://github.com/fastai/numerical-linear-algebra fastai/numerical-linear-algebra: Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course] | ||
| + | * 2024-01-16, 07:43:24: [https://github.com/juanklopper/MIT_OCW_Linear_Algebra_18_06 juanklopper/MIT_OCW_Linear_Algebra_18_06: IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)] | ||
| + | * 2024-01-16, 07:43:04: [https://github.com/xuwenhao/geektime-ai-course xuwenhao/geektime-ai-course: Jupyter Notebooks for Geektime AI Course] | ||
| + | * 2024-01-16, 07:42:49: [https://github.com/ML-course/master ML-course/master: A machine learning course using Python, Jupyter Notebooks, and OpenML] | ||
| + | * 2024-01-16, 07:39:44: [https://github.com/dataflowr/notebooks dataflowr/notebooks: code for deep learning courses] | ||
| + | * 2024-01-16, 07:38:51: [https://github.com/FurkanGozukara/Stable-Diffusion FurkanGozukara/Stable-Diffusion: Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney] | ||
| + | * 2024-01-16, 07:37:44: [https://github.com/phlippe/uvadlc_notebooks phlippe/uvadlc_notebooks: Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022] | ||
| + | * 2024-01-16, 07:36:44: [https://github.com/fastai/course22 fastai/course22: The fast.ai course notebooks] | ||
| + | * 2024-01-16, 07:35:36: [https://github.com/mlabonne/llm-course mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.] | ||
| + | * 2024-01-16, 07:30:12: [https://github.com/peremartra/Large-Language-Model-Notebooks-Course peremartra/Large-Language-Model-Notebooks-Course: Practical course about Large Language Models.] | ||
| + | * 2024-01-16, 07:29:16: [https://github.com/aperham90/QS_combinatorics/blob/main/Oralists_Aug142023.ipynb QS_combinatorics/Oralists_Aug142023.ipynb at main · aperham90/QS_combinatorics] | ||
| + | * 2024-01-16, 07:28:41: [https://github.com/fastai/numerical-linear-algebra/blob/master/nbs/2.%20Topic%20Modeling%20with%20NMF%20and%20SVD.ipynb numerical-linear-algebra/nbs/2. Topic Modeling with NMF and SVD.ipynb at master · fastai/numerical-linear-algebra] | ||
| + | |||
| + | == 2023 == | ||
| + | === 2023-11 === | ||
| + | |||
| + | * 2023-11-12, 16:18:02: [https://github.com/d-kirsanov/fresheye/blob/master/Code.gs fresheye/Code.gs at master · d-kirsanov/fresheye] | ||
| + | * 2023-11-11, 17:52:20: [https://github.com/bitbank2/TIFF_G4 bitbank2/TIFF_G4: A set of highly optimized functions for decoding and displaying 1-bpp CCITT G4 images] | ||
| + | |||
| + | === 2023-10 === | ||
| + | |||
| + | * 2023-10-19, 07:40:49: [https://www.researchgate.net/publication/267146475_Lectures_on_Sphere_Arrangements_-_the_Discrete_Geometric_Side (3) Lectures on Sphere Arrangements – the Discrete Geometric Side | Request PDF] | ||
| + | * 2023-10-02, 23:59:09: [https://sproul.xyz/blog/posts/gurobi-academic-validation.html How to Partially Bypass Gurobi's Academic IP Validation - sproul.xyz] | ||
| + | |||
| + | === 2023-09 === | ||
| + | |||
| + | * 2023-09-17, 22:31:02: [https://www.hindawi.com/journals/scn/2020/4195852/ Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption] | ||
| + | * 2023-09-17, 22:30:48: [https://github.com/taeyun1010/HomFingerPrintAuth taeyun1010/HomFingerPrintAuth] | ||
| + | |||
| + | === 2023-08 === | ||
| + | |||
| + | * 2023-08-05, 16:03:43: [https://www.math.auckland.ac.nz/~sgal018/crypto-book/ch17.pdf ch17.pdf] | ||
| + | * 2023-08-05, 16:03:30: [https://github.com/kelbyludwig?tab=followers kelbyludwig (Kelby Ludwig) / Followers] | ||
| + | |||
| + | === 2023-06 === | ||
| + | |||
| + | * 2023-06-06, 16:10:06: [https://github.com/Geometrein/dashmap.io Geometrein/dashmap.io: DashMap is an open source web platform that gathers, analyses and visualises urban data.] | ||
| + | * 2023-06-06, 15:51:02: [https://github.com/nhabbash/transport-network-analysis/tree/master nhabbash/transport-network-analysis: Graph-based analysis of a city's public transportation network] | ||
| + | * 2023-06-05, 05:58:48: [https://github.com/search?q=pyrosm+plotly+language%3APython&type=code Code search results · GitHub] | ||
| + | * 2023-06-05, 05:58:34: [https://wiki.openstreetmap.org/wiki/PBF_Format PBF Format — OpenStreetMap Wiki] | ||
| + | * 2023-06-05, 05:56:56: [https://github.com/winstonyym/urbanity/tree/db0fa19f0ced219b1bbf4daf146474c649d0d765 GitHub - winstonyym/urbanity at db0fa19f0ced219b1bbf4daf146474c649d0d765] | ||
| + | |||
| + | === 2023-03 === | ||
| + | |||
| + | * 2023-03-20, 11:52:55: [https://github.com/NVukobrat/CASIA-Iris-Recognition/tree/master/code CASIA-Iris-Recognition/code at master · NVukobrat/CASIA-Iris-Recognition] | ||
| + | *: <html> <span class="author flex-self-stretch" itemprop="author"> <a class="url fn" rel="author" data-hovercard-type="user" data-hovercard-url="/users/NVukobrat/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/NVukobrat"> NVukobrat </a> </span> <span class="mx-1 flex-self-stretch color-fg-muted">/</span> <strong itemprop="name" class="mr-2 flex-self-stretch"> <a data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="https://github.com/NVukobrat/CASIA-Iris-Recognition">CASIA-Iris-Recognition</a></strong></html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2023-03-14, 22:56:49: [https://github.com/rogerorr/NtTrace rogerorr/NtTrace: An strace-like program for the Windows 'native' API] | ||
| + | * 2023-03-14, 22:52:46: [https://docs.pyvista.org/examples/00-load/create-point-cloud.html Create Point Cloud — PyVista 0.38.4 documentation] | ||
| + | * 2023-03-12, 22:38:15: [https://www.diva-portal.org/smash/get/diva2:532809/FULLTEXT01.pdf FULLTEXT01.pdf] | ||
| + | * 2023-03-10, 03:47:08: [https://habr.com/ru/company/yandex_praktikum/blog/578910/ Создаём анимационные обучающие видео на Python с помощью Manim / Хабр] | ||
| + | *: <html><div data-gallery-root="" class="tm-comment"><div class="tm-comment__body-content"><div xmlns="http://www.w3.org/1999/xhtml"><p>В After Effects, например, можно использовать JavaScript, и сделать тоже самое, но с большим комфортом</p></div></div> <!----> <!----></div> <div class="tm-comment-footer"><div class="tm-votes-meter tm-comment-footer__votes-meter"><svg height="24" width="24" class="tm-svg-img tm-votes-meter__icon tm-votes-meter__icon tm-votes-meter__icon_appearance-comment"><title>Комментарий пока не оценивали</title> <use xlink:href="https://habr.com/img/megazord-v28.2b11c25e..svg#counter-rating"></use></svg> <span title="Комментарий пока не оценивали" class="tm-votes-meter__value tm-votes-meter__value tm-votes-meter__value_appearance-comment tm-votes-meter__value_rating"></span></div></div></html> | ||
| + | *: <html>Первый видео-курс по Python мне подкинул сосед, спец. по видео пост продакшн. Он его учил чтобы писать скрипты для <a href="https://ru.wikipedia.org/wiki/Houdini_(%D0%B3%D1%80%D0%B0%D1%84%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F_%D0%BF%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B0)" rel="noopener noreferrer nofollow">Houdini</a>.</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2023-03-09, 19:39:38: [https://github.com/Xpitfire/symbolicai Xpitfire/symbolicai: Compositional Differentiable Programming Library] | ||
| + | *: <html>pip install symbolicai</html> | ||
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| + | * 2023-03-08, 23:08:15: [https://en.wikipedia.org/wiki/Christofides_algorithm Christofides algorithm - Wikipedia] | ||
| + | *: <html>In July 2020 however, Karlin, Klein, and Gharan released a preprint in which they introduced a novel approximation algorithm and claimed that its approximation ratio is 1.5 − 10<sup>−36</sup>. Their method follows similar principles to Christofides' algorithm, but uses a randomly chosen tree from a carefully chosen random distribution in place of the minimum spanning tree.<sup id="cite_ref-5" class="reference"><a href="https://en.wikipedia.org/wiki/#cite_note-5">[5]</a></sup><sup id="cite_ref-6" class="reference"><a href="https://en.wikipedia.org/wiki/#cite_note-6">[6]</a></sup> The paper was published at <a href="https://en.wikipedia.org/wiki/Symposium_on_Theory_of_Computing" title="Symposium on Theory of Computing">STOC'21</a><sup id="cite_ref-7" class="reference"><a href="https://en.wikipedia.org/wiki/#cite_note-7">[7]</a></sup> where it received a best paper award.<sup id="cite_ref-8" class="reference"><a href="https://en.wikipedia.org/wiki/#cite_note-8">[8]</a></sup></html> | ||
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| + | |||
| + | == 2022 == | ||
| + | === 2022-04 === | ||
| + | |||
| + | * 2022-04-27, 22:04:58: [http://nicktitterton.com/SDPmaxcut.html Nick Titterton] | ||
| + | *: <html>X = cvx.Variable((V, V), PSD=True) </html> | ||
| + | |||
| + | === 2022-03 === | ||
| + | |||
| + | * 2022-03-15, 10:41:48: [https://slideplayer.com/slide/6504827/ The Traveling Salesman Problem in Theory & Practice Lecture 11: Branch & Cut & Concorde 8 April 2014 David S. Johnson - ppt download] | ||
| + | * 2022-03-15, 09:30:35: [https://github.com/jvkersch/pyconcorde GitHub - jvkersch/pyconcorde: Python wrapper around the Concorde TSP solver] | ||
| + | * 2022-03-15, 09:30:26: [https://github.com/dmishin/tsp-solver GitHub - dmishin/tsp-solver: Travelling Salesman Problem solver in pure Python + some visualizers] | ||
| + | * 2022-03-11, 03:25:24: [https://github.com/spacedeck/spacedeck-open GitHub - spacedeck/spacedeck-open: Spacedeck, a web based, real time, collaborative whiteboard application with rich media support] | ||
| + | |||
| + | == 2021 == | ||
| + | |||
| + | === 2021-12 === | ||
| + | |||
| + | * 2021-12-01, 05:20:51: [https://github.com/ccanonne/phdthesis/blob/master/introduction/sec-introduction.tex phdthesis/sec-introduction.tex at master · ccanonne/phdthesis · GitHub] | ||
| + | |||
| + | === 2021-11 === | ||
| + | |||
| + | * 2021-11-26, 19:23:23: [https://activecalculus.org/ Active Calculus Landing Page] | ||
| + | * 2021-11-21, 11:53:11: [https://www.cis.upenn.edu/~plclub/blog/2020-10-09-hs-to-coq/ Tutorial: Verify Haskell Programs with hs-to-coq] | ||
| + | * 2021-11-21, 03:05:00: [https://habr.com/ru/company/JetBrains-education/blog/589343/ Первый truly stateless оптимальный алгоритм модел-чекера и его проверка на Coq / Хабр] | ||
| + | *: <html>Рынок труда и задачи сегодня — скорее академические. Да, есть компании, которые фигачат на коках-агдах что-то в прод (вроде во всяких боингах-BAE было что-то), но в чистом ресёрче больше шансов этим заниматься. Ну и плюс последнее время — блокчейн, там стараются применять формальные методы (например, чуваки из iohk систематически что-то доказывают на агде про свой блокчейн).</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-11-20, 22:02:20: [https://academy.yandex.ru/dataschool/book?from=habr Учебник. Машинное обучение и Data Science: погружение в тему] | ||
| + | *: <html><div><section id="hero" class="lc-section lpc-section "><div class="lc-offsets lc-offsets_padding-top_none lc-offsets_padding-bottom_m"><div class="lc-text lc-text_align_left"><div class="lc-text lc-text_column_xl"><div class="lc-text-block lc-text-block_size_s52 lc-text-block_typeface_medium lc-text-block_font_text lc-text__title" style="color:rgba(0, 0, 0, 1)"><div class="lc-styled-text"><h1 class="lc-styled-text__text lc-styled-text__text_align_left">Машинное обучение и Data Science: погружение в тему</h1></div></div><div class="lc-text-block lc-text-block_size_s18 lc-text-block_typeface_light lc-text-block_font_text lc-text__text" style="color:rgba(0, 0, 0, 1)"><div class="lc-styled-text"><div class="lc-styled-text__text lc-styled-text__text_align_left"><span class="font-weight-500">Знания и опыт выпускников, преподавателей и друзей Школы анализа данных — в одном онлайн учебнике.</span> Погрузитесь в ML и узнайте, какие технологии меняют лицо современной науки и дают жизнь сервисам, которыми пользуются миллионы людей.</div></div></div></div></div></div></section></div><div><section id="hero-button" class="lc-section lpc-section "><div class="lc-offsets lc-offsets_padding-top_none lc-offsets_padding-bottom_none"><div class="lc-button-list lc-button-list_align_left"><div class="lc-button-list__container"><a class="Link link lc-link lc-button lc-button_theme_base lc-button_size_m lc-button_type_link lc-button-list__item" href="https://ml-handbook.ru/?from=habr" target="_blank" data-clickable="true" rel="noopener" data-log-node="0--100"><div class="lc-button__under"></div><span class="lc-button__text"><div class="lc-styled-text"><span class="lc-styled-text__text lc-styled-text__text_align_center"><span class="button-yellow">Перейти в учебник <svg class="footer__button-subscribe-svg" width="26" height="16" viewBox="0 0 26 16" fill="none" xmlns="http://www.w3.org/2000/svg"> </svg></span></span></div></span></a></div></div></div></section></div></html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-11-10, 02:57:35: [https://www.youtube.com/channel/UC81Q2wnuk5KqOFVgAbq4nUw Lead Coding by FRAZ - YouTube] | ||
| + | *: <html><yt-img-shadow id="avatar" width="80" class="style-scope ytd-c4-tabbed-header-renderer no-transition" style="background-color: transparent;" loaded=""><img id="img" class="style-scope yt-img-shadow" alt="" src="https://yt3.ggpht.com/C3s-9KNhCtkX9UAhIktZNAngThkd4MUmt3V3GXKDzDzGuIueIR0u3bRpNc-4cnyRRTTeh9AHgA=s88-c-k-c0x00ffffff-no-rj" width="80"></yt-img-shadow><ytd-channel-avatar-editor class="style-scope ytd-c4-tabbed-header-renderer" disable-upgrade="" hidden=""></ytd-channel-avatar-editor><div id="inner-header-container" class="style-scope ytd-c4-tabbed-header-renderer"><div id="meta" class="style-scope ytd-c4-tabbed-header-renderer"><ytd-channel-name id="channel-name" wrap-text="" class="style-scope ytd-c4-tabbed-header-renderer"><!--css-build:shady--><div id="container" class="style-scope ytd-channel-name"> <div id="text-container" class="style-scope ytd-channel-name"> <yt-formatted-string id="text" title="" class="style-scope ytd-channel-name">Lead Coding by FRAZ</yt-formatted-string></div></div></ytd-channel-name></div></div></html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | |||
| + | === 2021-10 === | ||
| + | |||
| + | * 2021-10-12, 10:13:18: [https://www.openmined.org/ OpenMined] | ||
| + | |||
| + | === 2021-09 === | ||
| + | |||
| + | * 2021-09-23, 10:34:11: [https://habr.com/ru/post/579350/ Что же не так с ДЭГ в Москве? / Хабр] | ||
| + | * 2021-09-02, 16:34:43: [https://xn----8sbfhdabdwf1afqu5baxe0f2d.xn--p1ai/office/contender/my/desc/87164 Личная карточка пользователя] | ||
| + | |||
| + | === 2021-08 === | ||
| + | |||
| + | * 2021-08-31, 14:25:23: [https://habr.com/ru/post/566920/ Алгебраические типы данных и Python / Хабр] | ||
| + | |||
| + | === 2021-07 === | ||
| + | |||
| + | * 2021-07-01, 16:12:00: [https://habr.com/ru/company/yandex/blog/263991/ Вероятностное программирование / Блог компании Яндекс / Хабр] | ||
| + | *: <html><h1 class="post__title post__title_full"><span class="post__title-text">Вероятностное программирование</span> </h1> <ul class="post__hubs post__hubs_full-post inline-list"> <li class="inline-list__item inline-list__item_hub"> <a href="https://habr.com/ru/company/yandex/" class="inline-list__item-link hub-link " title="Вы не подписаны на этот хаб" onclick="if (typeof ga === 'function') { ga('send', 'event', 'hub', 'post page', 'Блог компании Яндекс'); }">Блог компании Яндекс</a>, </li> <li class="inline-list__item inline-list__item_hub"> <a href="https://habr.com/ru/hub/search_technologies/" class="inline-list__item-link hub-link " title="Вы не подписаны на этот хаб" onclick="if (typeof ga === 'function') { ga('send', 'event', 'hub', 'post page', 'Поисковые технологии'); }">Поисковые технологии</a>, </li> <li class="inline-list__item inline-list__item_hub"> <a href="https://habr.com/ru/hub/programming/" class="inline-list__item-link hub-link " title="Вы не подписаны на этот хаб" onclick="if (typeof ga === 'function') { ga('send', 'event', 'hub', 'post page', 'Программирование'); }">Программирование</a>, </li> <li class="inline-list__item inline-list__item_hub"> <a href="https://habr.com/ru/hub/maths/" class="inline-list__item-link hub-link " title="Вы не подписаны на этот хаб" onclick="if (typeof ga === 'function') { ga('send', 'event', 'hub', 'post page', 'Математика'); }">Математика</a>, </li> <li class="inline-list__item inline-list__item_hub"> <a href="https://habr.com/ru/hub/machine_learning/" class="inline-list__item-link hub-link " title="Вы не подписаны на этот хаб" onclick="if (typeof ga === 'function') { ga('send', 'event', 'hub', 'post page', 'Машинное обучение'); }">Машинное обучение</a> </li> </ul> <ul class="post__marks inline-list"></ul> <div class="post__body post__body_full"> <div class="post__text post__text-html post__text_v1" id="post-content-body">Вероятностное моделирование является одним из мощнейших инструментов для специалиста по анализу данных. К сожалению, для его использования необходимо не только уверенно владеть </div></div></html> | ||
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| + | |||
| + | === 2021-06 === | ||
| + | |||
| + | * 2021-06-29, 21:56:20: [http://ibmdecisionoptimization.github.io/docplex-doc/cp/samples.html Examples of constraint programming — DOcplex.CP: Constraint Programming Modeling for Python V2.20 documentation] | ||
| + | * 2021-06-29, 21:55:42: [https://python-mip.readthedocs.io/en/latest/intro.html Introduction — Python-MIP documentation] | ||
| + | * 2021-06-29, 21:55:20: [http://www.om-db.wi.tum.de/psplib/data.html Data sets] | ||
| + | |||
| + | === 2021-05 === | ||
| + | |||
| + | * 2021-05-30, 11:24:30: [https://www.facebook.com/ Facebook] | ||
| + | *: <html>Аллен Дауни прямо радует - читается хорошо, без академической воды и понятно, с адекватными и ясными примерами практических задач. Последний раз все было так ясно и лаконично при перерешивании задач по терверу из советского учебника Вентцель и книги по байесовским методам Джона Крушке. Покрутил, наверное, в 10 раз в голове теорему Байеса и, вообще, понятие вероятности, условной вероятности, совместной вероятности, априорного и апостериорного распределения, сопряженного приора, pdf, pmf, cdf с разных сторон (и в очередной раз так и не просек простую идею бета-распределения, но, верю, она же есть) - ну чтобы чуйка развилась еще больше. Я честно, от всего сердца и ума, делал несколько подходов к прикладной байесовской статистике с разных сторон и с разными инструментами, прочитал, наверно несколько книг (поняв в них далеко не все) и не помню уже как много статей, но постоянно преследовал вопрос - а зачем и как это мне поможет в повседневной практике? Основная цель, которую я преследовал и до сих пор преследую для себя - научиться понимать "небольшие" данные и причины, стоящие за ними глубже, чем позволяют популярные статистические методы и мало кем, на самом деле, глубоко понимаемые доверительные интервалы на хи-квадратах, погоняемых группами сТЬЮдентов</html> | ||
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| + | |||
| + | === 2021-04 === | ||
| + | |||
| + | * 2021-04-15, 06:40:47: [https://people.sc.fsu.edu/~jburkardt/datasets/knapsack_multiple/knapsack_multiple.html KNAPSACK_MULTIPLE - Data for the 01 Multiple Knapsack Problem] | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-04-09, 06:30:07: [https://interview.cups.online/live-coding/?room=97803a89-5a70-4eee-9017-a2ebfd6dbc8b Code Editor] | ||
| + | * 2021-04-06, 18:23:38: [https://colab.research.google.com/drive/1F_9BqVAXze6T9U7cj5BsrkyfzaoYnCc6?usp=sharing#scrollTo=CH-o_Xw5tQXm networkx pyvis.ipynb - Colaboratory] | ||
| + | * 2021-04-03, 01:17:44: [https://github.com/Corvince/mesa-geo/blob/master/examples/GeoSIR/README.md mesa-geo/README.md at master · Corvince/mesa-geo] | ||
| + | * 2021-04-02, 19:03:23: [https://habr.com/ru/post/543566/?utm_campaign=543566&utm_source=habrahabr&utm_medium=rss Семейный бюджет, Google sheets и Python / Хабр] | ||
| + | *: <html><p>Localtunnel - <a href="https://localtunnel.github.io/www" rel="noopener noreferrer nofollow"><u>https://localtunnel.github.io/www</u></a></p><p>Teleconsole - <a href="https://www.teleconsole.com/" rel="noopener noreferrer nofollow"><u>https://www.teleconsole.com/</u></a>Pagekite - <a href="https://pagekite.net/" rel="noopener noreferrer nofollow"><u>https://pagekite.net/</u></a> </p></html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-04-02, 05:24:20: [https://github.com/trobey/covid trobey/covid: A Coronovirus model in Python Mesa] | ||
| + | * 2021-04-02, 05:11:20: [https://github.com/repast Repast] | ||
| + | * 2021-04-02, 05:05:17: [https://dmnfarrell.github.io/bioinformatics/abm-mesa-python Bioinformatics and other bits - A simple agent based infection model with Mesa and Bokeh] | ||
| + | * 2021-04-02, 04:50:44: [https://github.com/killerfridge/covid/blob/master/COVID%20Agent%20Based%20Model.ipynb covid/COVID Agent Based Model.ipynb at master · killerfridge/covid] | ||
| + | |||
| + | === 2021-03 === | ||
| + | |||
| + | * 2021-03-22, 16:22:55: [https://www.cyberforum.ru/anylogic/thread1914252.html Литература по AnyLogic - AnyLogic - Киберфорум] | ||
| + | * 2021-03-19, 01:16:41: [https://github.com/arty-name/livejournal-export/blob/master/download_comments.py livejournal-export/download_comments.py at master · arty-name/livejournal-export · GitHub] | ||
| + | * 2021-03-18, 08:51:01: [https://vitus-wagner.dreamwidth.org/2236410.html vitus_wagner | Криптапокалипсис сегодня] | ||
| + | *: <html>Schneier on Security: "No, RSA Is Not Broken"<br><br><a href="https://www.schneier.com/blog/archives/2021/03/no-rsa-is-not-broken.html">https://www.schneier.com/blog/archives/2021/03/no-rsa-is-not-broken.html</a><br><br>Вобщем, реакция общества скептическая пока </html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-03-10, 01:54:19: [https://www.noahlab.com.hk/logistics-ranking/#/ranking EMO 2021 Competition-3LVRP] | ||
| + | * 2021-03-04, 02:46:51: [https://www.ics.uci.edu/~irani/s18_cs262/HW/ Index of /~irani/s18_cs262/HW] | ||
| + | * 2021-03-04, 01:40:09: [https://www.cl.cam.ac.uk/teaching/0910/L15/solution1.pdf solution1.pdf] | ||
| + | * 2021-03-01, 11:41:58: [https://www.researchgate.net/publication/336370288_Solving_the_Quadratic_Assignment_Problem_using_the_Swallow_Swarm_Optimization_Problem/references (13) (PDF) Solving the Quadratic Assignment Problem using the Swallow Swarm Optimization Problem] | ||
| + | * 2021-03-01, 03:33:45: [https://www.npmjs.com/package/react-d3-tree react-d3-tree - npm] | ||
| + | * 2021-03-01, 03:19:41: [https://github.com/anvaka/VivaGraphJS anvaka/VivaGraphJS: Graph drawing library for JavaScript] | ||
| + | |||
| + | === 2021-02 === | ||
| + | |||
| + | * 2021-02-21, 03:10:20: [https://habr.com/ru/post/510746/?utm_campaign=510746&utm_source=habrahabr&utm_medium=rss Objects Representations for Machine Learning system based on Lattice Theory / Хабр] | ||
| + | * 2021-02-20, 17:12:08: [https://habr.com/ru/post/530898/?utm_campaign=530898&utm_source=habrahabr&utm_medium=rss Как выучить иностранный язык: алгоритм / Хабр] | ||
| + | * 2021-02-20, 10:40:05: [https://www.quora.com/Is-there-a-JS-better-than-D3-js-for-graph-visualization Is there a JS better than D3.js for graph visualization? - Quora] | ||
| + | *: <html><div><div class="q-box puppeteer_test_question_main" style="box-sizing: border-box;"><div class="q-text qu-display--flex qu-px--large qu-pb--large qu-flexDirection--row qu-fontSize--regular" style="box-sizing: initial; width: 1002px; margin-left: auto; margin-right: auto; padding-top: 30px; align-items: stretch;" width="1002"><div class="q-box" style="box-sizing: border-box; width: 602px;" width="602"><div class="q-box qu-borderBottom qu-pb--small" style="box-sizing: border-box;"><div class="q-box" style="box-sizing: border-box;"><div class="q-flex qu-flexWrap--wrap qu-alignItems--center" style="box-sizing: border-box; display: flex;"><div class="q-box qu-mr--tiny qu-mb--tiny" style="box-sizing: border-box;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--none qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/topic/D3-js-JavaScript-library" target="_top"><div class="q-inlineFlex qu-py--tiny qu-px--small qu-color--gray qu-bg--gray_ultralight qu-borderRadius--small qu-whiteSpace--nowrap qu-hover--color--blue" style="box-sizing: border-box; display: inline-flex;"><div class="q-text qu-fontSize--small" style="box-sizing: border-box;"><span class="q-text" style="box-sizing: border-box; word-break: break-word;"><span>D3.js (JavaScript library)</span></span></div></div></a></div><div class="q-box qu-mr--tiny qu-mb--tiny" style="box-sizing: border-box;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--none qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/topic/Data-Visualization" target="_top"><div class="q-inlineFlex qu-py--tiny qu-px--small qu-color--gray qu-bg--gray_ultralight qu-borderRadius--small qu-whiteSpace--nowrap qu-hover--color--blue" style="box-sizing: border-box; display: inline-flex;"><div class="q-text qu-fontSize--small" style="box-sizing: border-box;"><span class="q-text" style="box-sizing: border-box; word-break: break-word;"><span>Data Visualization</span></span></div></div></a></div><div class="q-box qu-mb--tiny" style="box-sizing: border-box;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--none qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/topic/JavaScript-programming-language" target="_top"><div class="q-inlineFlex qu-py--tiny qu-px--small qu-color--gray qu-bg--gray_ultralight qu-borderRadius--small qu-whiteSpace--nowrap qu-hover--color--blue" style="box-sizing: border-box; display: inline-flex;"><div class="q-text qu-fontSize--small" style="box-sizing: border-box;"><span class="q-text" style="box-sizing: border-box; word-break: break-word;"><span>JavaScript (programming language)</span></span></div></div></a></div></div><div class="q-text qu-bold qu-fontSize--xlarge qu-color--gray_dark_dim qu-passColorToLinks qu-userSelect--text qu-lineHeight--regular" style="box-sizing: border-box; word-break: break-word;"><span class="CssComponent__CssInlineComponent-sc-1oskqb9-1 TitleText___StyledCssInlineComponent-sc-1hpb63h-0 jPnwvF"><div class="q-flex qu-flexDirection--row" style="box-sizing: border-box; display: flex;"><div class="q-inline qu-flexWrap--wrap" style="box-sizing: border-box; display: inline;"><div class="q-text puppeteer_test_question_title" style="box-sizing: border-box;"><span class="q-box qu-userSelect--text" style="box-sizing: border-box;"><span style="background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">Is there a JS better than D3.js for graph visualization?</span> </span></div></div></div></span></div></div></div><div><div class="CssComponent-sc-1oskqb9-0 cXjXFI"><div class="q-box" style="box-sizing: border-box;"><div class="q-box" style="box-sizing: border-box;"><div class="q-box qu-bg--white" style="box-sizing: border-box;"><span data-nosnippet="true"><div class="q-box ad question_page_ad top_slot" style="display: none !important;"><div><div><div class="q-box qu-pt--medium" style="box-sizing: border-box; padding-bottom: 0px; position: relative;"><div class="q-flex qu-mb--small" style="box-sizing: border-box; display: flex;"><div class="q-click-wrapper qu-display--block qu-tapHighlight--white qu-cursor--pointer qu-hover--textDecoration--underline" style="box-sizing: border-box; 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margin-left: 0.1px; margin-right: 0.1px;"><div class="q-box qu-pt--medium qu-pb--medium" style="box-sizing: border-box; position: relative;"><div class="q-box" style="box-sizing: border-box;"><div><div class="q-box" style="box-sizing: border-box;"><div class="q-flex" style="box-sizing: border-box; display: flex;"><div class="q-box qu-mb--small" style="box-sizing: border-box; width: 100%;" width="100%"><div class="q-box spacing_log_answer_header" style="box-sizing: border-box;"><div class="q-flex" style="box-sizing: border-box; display: flex; align-items: start; width: 100%;" width="100%"><div class="q-inlineFlex qu-flex--none qu-mr--small qu-alignItems--center" style="box-sizing: border-box; display: inline-flex;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><div class="q-relative qu-display--inline-flex" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><a class="q-box qu-display--inline-flex qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; 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position: absolute; inset: 0px;"></div></div></div></div></a></div></div></div></div></div><div class="q-box qu-alignSelf--center qu-flex--auto" style="box-sizing: border-box; overflow-wrap: break-word;"><div class="q-text qu-fontSize--regular qu-truncateLines--3 qu-passColorToLinks" style="box-sizing: border-box; margin-bottom: 2px;"><span><span class="q-box qu-display--none" style="box-sizing: border-box;"></span><span class="CssComponent-sc-1oskqb9-0 AbstractSeparatedItems___StyledCssComponent-sc-46kfvf-0 bxBZxD"><span class="q-text qu-bold" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-relative qu-display--inline" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><a class="q-box qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/profile/Adrian-M-P-Brasoveanu" target="_blank"><span>Adrian M.P. Brasoveanu</span></a></div></div></div></div></span>, <span class="q-box qu-borderWidth--retinaOverride qu-borderWidth--regular" style="box-sizing: border-box; word-break: break-word;">works at MODUL University, Vienna</span></span></span></div><div class="q-text qu-color--gray_light qu-fontSize--small qu-passColorToLinks" style="box-sizing: border-box;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/Is-there-a-JS-better-than-D3-js-for-graph-visualization/answer/Adrian-M-P-Brasoveanu" target="_top" rel="nofollow">Answered 3 years ago</a><span> · </span>Author has <span class="q-text qu-bold" style="box-sizing: border-box;">88</span> answers and <span class="q-text qu-bold" style="box-sizing: border-box;">110.9K</span> answer views</div></div></div></div></div></div><div class="q-relative spacing_log_answer_content puppeteer_test_answer_content" style="box-sizing: border-box; position: relative;"><div class="q-text" style="box-sizing: border-box; max-width: 100%;"><span class="q-box qu-userSelect--text" style="box-sizing: border-box;"><p class="q-text qu-display--block" style="box-sizing: border-box; margin-bottom: 1em; overflow-wrap: anywhere; word-break: break-word; direction: ltr; text-align: start;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">It would be extremely difficult to come up with a better framework for graph visualization in JavaScript than D3 for several reasons:</span></p> <ul class="q-box" style="box-sizing: border-box; direction: ltr; overflow-wrap: break-word; list-style: outside none disc; margin-bottom: 1em; margin-right: 2em;"><li class="q-relative" style="box-sizing: border-box; position: relative; margin-left: 2em; padding-bottom: 0.7em;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">D3 is built around all the normal web stuff like HTML, DOM, CSS, therefore there is no need to learn new technologies in order to use it.</span></li><li class="q-relative" style="box-sizing: border-box; position: relative; margin-left: 2em; padding-bottom: 0.7em;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">D3 is rather like a programming language for graphics. Leave aside the fact it’s written in JS, and it looks more like a Processing type of interpreted programming language.</span></li><li class="q-relative" style="box-sizing: border-box; position: relative; margin-left: 2em; padding-bottom: 0.7em;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">D3 has a big community behind it. While even 2–3 years there were still problems finding good documentation for it, right now however there shouldn’t be any issues with it.</span></li><li class="q-relative" style="box-sizing: border-box; position: relative; margin-left: 2em; padding-bottom: 0px;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">As other answers have mentioned, you can think of D3 as more of a basic utility that can be used to develop higher level charts/libraries, and as it turns out there are many of them. They are not better than D3, but rather they use D3.</span></li></ul><p class="q-text qu-display--block" style="box-sizing: border-box; margin-bottom: 0px; overflow-wrap: anywhere; word-break: break-word; direction: ltr; text-align: start;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">In general if you need something better you need to define in which sense? If you need better speed? Better functionality? Faster rendering speed versus faster development time? Depending on the answer you might find faster graphics library, e.g., if they were developed directly in C, however I doubt that beside Processing or D3 you will find anything faster in the JavaScript world. Be aware though that both Processing and D3 have a steep learning curve, and Processing also requires you to use a lot of mathematics.</span></p> </span></div><div></div></div></div><div class="q-text qu-mt--small qu-color--gray_light qu-fontSize--small qu-passColorToLinks" style="box-sizing: border-box;"><span><span class="q-box qu-display--none" style="box-sizing: border-box;"></span><span class="CssComponent-sc-1oskqb9-0 AbstractSeparatedItems___StyledCssComponent-sc-46kfvf-0 bxBZxD">8.8K views</span><span class="q-box qu-display--none" style="box-sizing: border-box;"> · </span><span class="CssComponent-sc-1oskqb9-0 AbstractSeparatedItems___StyledCssComponent-sc-46kfvf-0 diCWLm"><div class="q-click-wrapper qu-display--inline-block qu-tapHighlight--white qu-cursor--pointer qu-hover--textDecoration--underline" style="box-sizing: border-box; font: inherit; outline: inherit; padding: 0px; color: inherit; text-align: inherit;" tabindex="0">View 2 Upvoters</div></span></span><span> · </span>Answer requested by <div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-relative qu-display--inline" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><a class="q-box qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/profile/Jeff-Kinney-7" target="_blank"><span>Jeff Kinney</span></a></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div class="CssComponent-sc-1oskqb9-0 cXjXFI"><div class="q-box" style="box-sizing: border-box;"><div class="q-box" style="box-sizing: border-box;"><div class="q-box qu-pb--medium qu-borderBottom" style="box-sizing: border-box; margin-left: 0.1px; margin-right: 0.1px;"><div class="q-box qu-mt--small" style="box-sizing: border-box;"><div><div class="q-box qu-borderBottom qu-pb--small" style="box-sizing: border-box;"><div class="q-flex qu-alignItems--center" style="box-sizing: border-box; display: flex;"><div class="q-box" style="box-sizing: border-box; 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display: flex; height: 100%;"><div class="q-box qu-flex--auto qu-overflow--hidden" style="box-sizing: border-box;"><div class="q-text qu-color--gray_dark" style="box-sizing: border-box;"><div class="q-box qu-py--tiny" style="box-sizing: border-box;"><span class="q-text qu-color--blue_dark" style="box-sizing: border-box; font-size: inherit;"><div class="q-flex qu-flexDirection--row" style="box-sizing: border-box; display: flex;"><div class="q-inline qu-flexWrap--wrap" style="box-sizing: border-box; display: inline;"><div class="q-text qu-truncateLines--2 puppeteer_test_question_title" style="box-sizing: border-box;"><span class="q-box qu-userSelect--text" style="box-sizing: border-box;"><span style="background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">What are the data visualization alternatives to D3.js?</span> </span></div></div></div></span></div></div></div></div></div></a></div><div><a class="q-box qu-display--block qu-cursor--pointer qu-hover--textDecoration--none qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" target="_blank" href="https://www.quora.com/What-is-better-for-data-visualization-R-Python-libraries-or-D3-js"><div class="q-box qu-py--tiny qu-hover--textDecoration--underline qu-tapHighlight--none qu-display--flex qu-alignItems--center" style="box-sizing: border-box; position: relative;"><div class="q-flex qu-alignItems--center qu-flex--auto qu-overflow--hidden" style="box-sizing: border-box; display: flex; height: 100%;"><div class="q-box qu-flex--auto qu-overflow--hidden" style="box-sizing: border-box;"><div class="q-text qu-color--gray_dark" style="box-sizing: border-box;"><div class="q-box qu-py--tiny" style="box-sizing: border-box;"><span class="q-text qu-color--blue_dark" style="box-sizing: border-box; font-size: inherit;"><div class="q-flex qu-flexDirection--row" style="box-sizing: border-box; display: flex;"><div class="q-inline qu-flexWrap--wrap" style="box-sizing: border-box; display: inline;"><div class="q-text qu-truncateLines--2 puppeteer_test_question_title" style="box-sizing: border-box;"><span class="q-box qu-userSelect--text" style="box-sizing: border-box;"><span style="background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">What is better for data visualization: R/Python libraries or D3. js?</span> </span></div></div></div></span></div></div></div></div></div></a></div></div><div style="position: relative; top: -50px;"></div></div></div></div></div></div></div><div class="CssComponent-sc-1oskqb9-0 cXjXFI"><div class="q-box" style="box-sizing: border-box;"><div class="q-box" style="box-sizing: border-box;"><div><div><div><div><div class="q-box qu-pb--medium qu-borderBottom" style="box-sizing: border-box; margin-left: 0.1px; margin-right: 0.1px;"><div class="q-box qu-pt--medium qu-pb--medium" style="box-sizing: border-box; position: relative;"><div class="q-box" style="box-sizing: border-box;"><div><div class="q-box" style="box-sizing: border-box;"><div class="q-flex" style="box-sizing: border-box; display: flex;"><div class="q-box qu-mb--small" style="box-sizing: border-box; width: 100%;" width="100%"><div class="q-box spacing_log_answer_header" style="box-sizing: border-box;"><div class="q-flex" style="box-sizing: border-box; display: flex; align-items: start; width: 100%;" width="100%"><div class="q-inlineFlex qu-flex--none qu-mr--small qu-alignItems--center" style="box-sizing: border-box; display: inline-flex;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><div class="q-relative qu-display--inline-flex" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline-flex" style="box-sizing: border-box;"><a class="q-box qu-display--inline-flex qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/profile/Taha-Kachwala" target="_blank"><div class="q-inlineFlex qu-flex--none" style="box-sizing: border-box; display: inline-flex; position: relative;"><div class="q-inlineFlex" style="box-sizing: border-box; display: inline-flex; position: relative;"><div class="q-inlineFlex qu-overflow--hidden qu-borderRadius--circle qu-borderWidth--retinaOverride" style="box-sizing: border-box; display: inline-flex; border-width: 2px; border-style: none; box-shadow: rgba(0, 0, 0, 0.1) 0px 0px 0px 0.5px;"><div class="q-box qu-bg--white__ignore_dark_mode qu-borderRadius--circle" style="box-sizing: border-box; position: absolute; inset: 1px;"></div><img class="q-image qu-display--block qu-size--36 qu-minWidth--36" style="box-sizing: border-box; max-width: 100%; position: relative;" src="https://qph.fs.quoracdn.net/main-thumb-36335708-200-hytiefnyaoseitkgetzltsqfcpreptom.jpeg" size="36"><div class="q-box qu-borderRadius--circle qu-borderAll qu-borderColor--darken Photo___StyledBox-sc-1x7c6d3-0 guhqSv" style="box-sizing: border-box; position: absolute; inset: 0px;"></div></div></div></div></a></div></div></div></div></div><div class="q-box qu-alignSelf--center qu-flex--auto" style="box-sizing: border-box; overflow-wrap: break-word;"><div class="q-text qu-fontSize--regular qu-truncateLines--3 qu-passColorToLinks" style="box-sizing: border-box; margin-bottom: 2px;"><span><span class="q-box qu-display--none" style="box-sizing: border-box;"></span><span class="CssComponent-sc-1oskqb9-0 AbstractSeparatedItems___StyledCssComponent-sc-46kfvf-0 bxBZxD"><span class="q-text qu-bold" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-relative qu-display--inline" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><a class="q-box qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/profile/Taha-Kachwala" target="_blank"><span>Taha Kachwala</span></a></div></div></div></div></span>, <span class="q-box qu-borderWidth--retinaOverride qu-borderWidth--regular" style="box-sizing: border-box; word-break: break-word;">Digital Media Technologist</span></span></span></div><div class="q-text qu-color--gray_light qu-fontSize--small qu-passColorToLinks" style="box-sizing: border-box;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/Is-there-a-JS-better-than-D3-js-for-graph-visualization/answer/Taha-Kachwala" target="_top" rel="nofollow">Answered 3 years ago</a><span> · </span>Upvoted by <span><span class="q-box qu-display--none" style="box-sizing: border-box;"></span><span class="CssComponent-sc-1oskqb9-0 AbstractSeparatedItems___StyledCssComponent-sc-46kfvf-0 bxBZxD"><span class="q-text" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><div class="q-relative qu-display--inline" style="box-sizing: border-box; position: relative;"><div class="q-box qu-display--inline" style="box-sizing: border-box;"><a class="q-box qu-color--gray_dark qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit;" href="https://www.quora.com/profile/Ravi-Shankar-1920" target="_blank"><span>Ravi Shankar</span></a></div></div></div></div></span>, <span class="q-box qu-borderBottom qu-borderWidth--retinaOverride qu-borderWidth--regular" style="box-sizing: border-box; word-break: break-word;">Mater's Master of Science in Computer Science & D3.js, University of Massachusetts, Dartmouth (2018)</span></span></span><span> · </span>Author has <span class="q-text qu-bold" style="box-sizing: border-box;">63</span> answers and <span class="q-text qu-bold" style="box-sizing: border-box;">625.1K</span> answer views</div></div></div></div></div></div><div class="q-relative spacing_log_answer_content puppeteer_test_answer_content" style="box-sizing: border-box; position: relative;"><div class="q-click-wrapper qu-display--block qu-tapHighlight--white qu-cursor--pointer" style="box-sizing: border-box; font: inherit; outline: inherit; padding: 0px; width: 100%; color: inherit; text-align: inherit;" width="100%" tabindex="0"><div class="q-relative" style="box-sizing: border-box; position: relative;"><div class="q-box" style="box-sizing: border-box; max-width: 100%;"><div class="q-box qu-cursor--pointer QTextTruncated___StyledBox-sc-1pev100-0 ejgusd" style="box-sizing: border-box;"><div class="q-relative" style="box-sizing: border-box; position: relative;"><div class="q-box qu-overflow--hidden" style="box-sizing: border-box; max-height: 300px;"><div class="q-text" style="box-sizing: border-box;"><span class="q-box qu-userSelect--text" style="box-sizing: border-box;"><p class="q-text qu-display--block" style="box-sizing: border-box; margin-bottom: 1em; overflow-wrap: anywhere; word-break: break-word; direction: ltr; text-align: start;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">You can imagine D3 to be more of a framework you can use to design any type of visualization. It will require you to invest time and effort in learning, manipulation and cleaning of data, scaling, labeling etc. You can basically build any 2D visualizations you like from simple charts like bar and pie, to complex PCP and even custom visualizations. It is free, open sourced, and comes with a lot of good documentation and help from stack overflow.</span></p> <div class="q-box" style="box-sizing: border-box; margin-bottom: 1em; transition-property: undefined; transition-duration: 1s; transition-timing-function: ease-out; filter: blur(0px);"><img class="q-image qu-display--block qu-borderRadius--small" style="box-sizing: border-box; max-width: 100%;" src="https://qph.fs.quoracdn.net/main-qimg-bd3c312e9d3c76d8840eaafa65b5b7b4"></div> <p class="q-text qu-display--block" style="box-sizing: border-box; margin-bottom: 1em; overflow-wrap: anywhere; word-break: break-word; direction: ltr; text-align: start;"><span style="font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;">(I had created this DOTA2 map using D3 and had done some analysis - </span><span class="q-inline" style="box-sizing: border-box; display: inline;"><a class="q-box qu-cursor--pointer qu-hover--textDecoration--underline qu-userSelect--text" style="box-sizing: border-box; border-radius: inherit; font-weight: normal; font-style: normal; background: rgba(0, 0, 0, 0) none repeat scroll 0% 0%;" title="www.academia.edu" href="https://www.academia.edu/22194561/DotA2_Spatio-Temporal_Game_Analysis" target="_blank" rel="noopener nofollow">DotA2 Spatio-Temporal Game Analysis</a><span class="q-inlineBlock qu-verticalAlign--text-bottom" style="box-sizing: border-box; display: inline-block; width: 16px; height: 16px; flex-shrink: 0; line-height: 0; margin-left: 2px;" width="16px" name="ExternalLink"><span class="CssComponent__CssInlineComponent-sc-1oskqb9-1 Icon___StyledCssInlineComponent-sc-11tmcw7-0 lcSoNN"><svg width="24px" height="24px" viewBox="0 0 24 24"><g id="external_link" class="icon_svg-stroke" stroke="#666" stroke-width="1.5" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></g></svg></span></span></span></p></span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></html> | ||
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| + | * 2021-02-20, 10:32:26: [https://js.cytoscape.org/ Cytoscape.js] | ||
| + | * 2021-02-20, 10:29:31: [http://vega.github.io/ Vega] | ||
| + | * 2021-02-20, 10:29:13: [http://sigmajs.org/ Sigma js] | ||
| + | * 2021-02-11, 11:00:24: [https://www.youtube.com/watch?v=NzeS8XoGCLI&list=PL4_hYwCyhAvbXd4YjOILzI5nPZMIzotMG Сложность вычислений 1. Вводная лекция - YouTube] | ||
| + | * 2021-02-09, 23:09:20: [https://github.com/caiyangcy/VRP-Algorithms caiyangcy/VRP-Algorithms] | ||
| + | * 2021-02-09, 23:08:38: [https://neo.lcc.uma.es/vrp/solution-methods/ Solution Methods for VRP | Vehicle Routing Problem] | ||
| + | * 2021-02-09, 23:08:23: [http://www.ieomsociety.org/paris2018/papers/494.pdf 494.pdf] | ||
| + | * 2021-02-09, 00:34:16: [https://mbraak.github.io/django-mptt-admin/ django-mptt-admin] | ||
| + | *: <html>filter_tree_queryset</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-02-07, 11:22:47: [https://towardsdatascience.com/making-artistic-maps-with-python-9d37f5ea8af0 Making Artistic Maps with Python. Rock Chalk Jayhawk! | by Frank Ceballos | Towards Data Science] | ||
| + | * 2021-02-07, 11:21:11: [https://habr.com/ru/company/skillfactory/blog/540286/?utm_campaign=540286&utm_source=habrahabr&utm_medium=rss Как создавать красивые карты с помощью Python / Блог компании SkillFactory / Хабр] | ||
| + | * 2021-02-04, 20:32:08: [https://bl.ocks.org/mbostock/4600693 Curved Links - bl.ocks.org] | ||
| + | * 2021-02-03, 12:23:00: [https://joneisen.me/d3-tsp-demo/ Travelling Salesman Problem] | ||
| + | * 2021-02-02, 14:14:27: [https://habr.com/ru/post/539892/?utm_campaign=539892&utm_source=habrahabr&utm_medium=rss Как «Ревущий Котёнок» с Reddit заработал 28.500% на акциях GameStop: объясняю простым языком / Хабр] | ||
| + | *: <html>С. Вайн, „Опционы. Курс для профессоналов“, 2003. </html> | ||
| + | *: <html>Я свои деньги (401k) в фонде могу инвестировать в довольно широких пределах, от высокорисковых активов до низкорисковых и низкодоходных (типа гособлигаций).</html> | ||
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| + | |||
| + | === 2021-01 === | ||
| + | |||
| + | * 2021-01-30, 03:50:08: [https://www.geeksforgeeks.org/box-stacking-problem-dp-22/ Box Stacking Problem | DP-22 - GeeksforGeeks] | ||
| + | * 2021-01-26, 07:42:08: [https://www.qgis.org/en/site/ Welcome to the QGIS project!] | ||
| + | * 2021-01-26, 07:28:36: [https://habr.com/ru/post/511144/ Делаем маршрутизацию (роутинг) на OpenStreetMap. Введение / Хабр] | ||
| + | * 2021-01-26, 06:38:53: [https://habr.com/ru/post/437280/ Простая логистика своими руками / Хабр] | ||
| + | * 2021-01-26, 06:32:51: [https://infostart.ru/public/1222785/ Яндекс.Маршрутизация vs Sygic. Замещаем импортозамещение] | ||
| + | * 2021-01-26, 06:05:38: [https://docs.pgrouting.org/2.2/en/src/dijkstra/doc/pgr_dijkstra.html pgr_dijkstra — pgRouting Manual (2.2)] | ||
| + | * 2021-01-26, 05:34:10: [https://habr.com/ru/company/yandex/blog/496818/#arxiv Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации / Блог компании Яндекс / Хабр] | ||
| + | *: <html>Еще раз — представленное решение настолько плохо, что любой Open Source роутинг типа PgRouting или Spatialite Routing будет на порядки быстрее (100-1000 раз, навскидку).</html> | ||
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| + | * 2021-01-26, 04:22:42: [https://habr.com/ru/company/yandex/blog/507448/ Как мы сэкономили время курьерам. Логистика в Яндекс.Еде / Блог компании Яндекс / Хабр] | ||
| + | *: <html>Как мы сэкономили время курьерам. Логистика в Яндекс.Еде</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-01-26, 04:22:39: [https://habr.com/ru/company/yandex/blog/494792/ Яндекс.Маршрутизация: как мы окунулись в логистику и решили поменять будущее / Блог компании Яндекс / Хабр] | ||
| + | *: <html>Было бы интересно если бы вы выложили матрицу и точки для 3000 локаций, ваше решение, чтобы посмотреть бенчмарк (мы тоже занимаемся VRP задачами)</html> | ||
| + | *: <html>Солвер Яндекс.Маршрутизации использует комбинацию <a href="https://habr.com/ru/post/209610/">алгоритма симуляции отжига</a> и генетического алгоритма. </html> | ||
| + | *: <html> заточенных именно под MVRP-задачи и готовых к интеграции с системами управления предприятием. В России известны VeeRoute, Maxoptra, Антор. </html> | ||
| + | *: <html>Программа написана хорошими программистами, она умеет разбрасывать грузы по машинам и строить оптимальный (по времени или пробегу) маршрут объезда заказов, учитывая кучу параметров. Но логист этой функциональностью никак не пользуется. Зато он активно использует визуализацию заказов на карте.</html> | ||
| + | *: <html>Яндекс.Маршрутизация: как мы окунулись в логистику и решили поменять будущее</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-01-26, 04:22:37: [https://habr.com/ru/company/yandex/blog/496818/ Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации / Блог компании Яндекс / Хабр] | ||
| + | *: <html>Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2021-01-13, 23:28:35: [https://habr.com/ru/post/518372/?utm_campaign=518372&utm_source=habrahabr&utm_medium=rss Что вас ждет на курсе Алгоритмов в Яндекс.Практикуме / Хабр] | ||
| + | *: <html>Это вы еще в школе21 от Сбера не учились.<br> Там всё то же, но бесплатно, и преподавателей нет совсем</html> | ||
| + | *: <html>Оставлю ссылку openedu.ru/course/ITMOUniversity/PADS<br> Единственный момент, в 2017 году, когда я проходил, графов не было. Может сейчас добавили.</html> | ||
| + | *: <html>Вышеупомянутый leetcode, например, не оценивает производительность работы с консолью, оценивается только работа алгоритма. Также собственно и на hackerrunk, только там, в отличии от leetcode, функции чтения из консоли и далее вывод ответа в консоль реализованы заранее и скрыты от пользователя (но код можно развернуть и посмотреть).</html> | ||
| + | *: <html>Подтверждаю — 50-100 решенных литкодов позволяют пройти алгоритм секцию в том же яндексе</html> | ||
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| + | * 2021-01-12, 16:25:42: [https://habr.com/ru/post/536804/?utm_campaign=536804&utm_source=habrahabr&utm_medium=rss Аксиома выбора и принципиальные ограничения человеческого разума / Хабр] | ||
| + | * 2021-01-12, 11:33:42: [https://blog.computationalcomplexity.org/2004/06/impagliazzos-five-worlds.html Computational Complexity: Impagliazzo's Five Worlds] | ||
| + | |||
== 2020 == | == 2020 == | ||
| + | === 2020-12 === | ||
| + | |||
| + | * 2020-12-15, 21:12:50: [https://habr.com/ru/company/leroy_merlin/blog/533182/?utm_campaign=533182&utm_source=habrahabr&utm_medium=rss Как попадает товар в магазины «Леруа Мерлен» с точки зрения математики заказа / Блог компании Леруа Мерлен / Хабр] | ||
| + | * 2020-12-01, 22:40:34: [https://bijournal.hse.ru/data/2018/12/04/1144145361/2.pdf BI 3 (45) 2018 RU.indd - 2.pdf] | ||
| + | |||
| + | === 2020-11 === | ||
| + | |||
| + | * 2020-11-26, 02:18:46: [https://habr.com/ru/company/ruvds/blog/529780/?utm_campaign=529780&utm_source=habrahabr&utm_medium=rss Заметки Датасатаниста: что делать, если перед вами оказалась NP-полная задача / Блог компании RUVDS.com / Хабр] | ||
| + | * 2020-11-26, 02:15:02: [https://habr.com/ru/post/322900/ Что такое логическое программирование и зачем оно нам нужно / Хабр] | ||
| + | * 2020-11-26, 01:52:18: [https://github.com/itmo-swm ITMO Smart Waste Management system] | ||
| + | * 2020-11-26, 01:25:36: [https://en.wikipedia.org/wiki/Circulation_problem Circulation problem - Wikipedia] | ||
| + | * 2020-11-26, 01:24:20: [https://github.com/gboeing/osmnx gboeing/osmnx: OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.] | ||
| + | * 2020-11-26, 01:24:15: [https://www.sciencedirect.com/science/article/pii/S0198971516303970?via%3Dihub OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks - ScienceDirect] | ||
| + | * 2020-11-17, 09:41:05: [https://onlinelibrary.wiley.com/doi/full/10.1002/sys.21492 A method for designing minimum‐cost multisource multisink network layouts - Heijnen - 2020 - Systems Engineering - Wiley Online Library] | ||
| + | * 2020-11-17, 09:40:42: [https://cs.stackexchange.com/questions/70490/minimizing-transportation-cost-through-a-network-multiple-source-sinks algorithms - Minimizing transportation cost through a network, multiple source/sinks - Computer Science Stack Exchange] | ||
| + | * 2020-11-17, 08:55:10: [https://www.researchgate.net/publication/278166053_The_Logistic_Model_for_Decision_Making_in_Waste_Management (1) (PDF) The Logistic Model for Decision Making in Waste Management] | ||
| + | |||
=== 2020-10 === | === 2020-10 === | ||
| + | * 2020-10-13, 14:31:27: [https://github.com/vasil-sd/engineering-sw-hw-model-checking-letures vasil-sd/engineering-sw-hw-model-checking-letures: Lectures in MIPT: intro to engineering software using model-checking.] | ||
| + | *: <html>Обзорный курс по model-checking/model-finding, читаемый осенью 2020 для студентов 2-го курса МФТИ.</html> | ||
| + | <!-- NEXT BOOKMARK --> | ||
| + | * 2020-10-13, 14:10:16: [https://deepspec.org/main The Science of Deep Specification] | ||
| + | * 2020-10-13, 14:06:36: [https://github.com/vasil-sd/engineering-sw-hw-model-checking-letures/blob/master/Lecture1.pdf engineering-sw-hw-model-checking-letures/Lecture1.pdf at master · vasil-sd/engineering-sw-hw-model-checking-letures] | ||
| + | * 2020-10-13, 14:00:10: [https://www.youtube.com/playlist?list=PLQ-XJe6nVU5BwX1gV80aDhwW0Jt3tipIY «Введение в верификацию программ» - YouTube] | ||
* 2020-10-13, 13:54:55: [https://jscoq.github.io/ jsCoq – Use Coq in Your Browser] | * 2020-10-13, 13:54:55: [https://jscoq.github.io/ jsCoq – Use Coq in Your Browser] | ||
* 2020-10-13, 02:45:30: [https://compsciclub.ru/courses/2016-autumn/6.246-approximationalgo/classes/ Приближенное решение задач комбинаторной оптимизации: алгоритмы и трудность, осень 2016] | * 2020-10-13, 02:45:30: [https://compsciclub.ru/courses/2016-autumn/6.246-approximationalgo/classes/ Приближенное решение задач комбинаторной оптимизации: алгоритмы и трудность, осень 2016] | ||
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*: <html>Исследователи смогли преодолеть барьер в улучшении решения задачи коммивояжера</html> | *: <html>Исследователи смогли преодолеть барьер в улучшении решения задачи коммивояжера</html> | ||
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| − | * 2020-10-04, 14:13:10: [ | + | * 2020-10-04, 14:13:10: [[[spoj/tag]]graph-theory Sphere Online Judge (SPOJ)] |
=== 2020-09 === | === 2020-09 === | ||
Версия 21:45, 21 мая 2024
2024
2024-05
- 2024-05-21, 21:45:24: Единая нейросетевая модель кредитного скоринга / Хабр
2024-04
- 2024-04-18, 03:27:43: (2104.00480) Idris 2: Quantitative Type Theory in Practice
2024-03
- 2024-03-28, 16:34:00: статус курсы.xlsx - Google Sheets
-
- 2024-03-20, 19:14:22: sheryl-ai/MVGCN: Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
- 2024-03-03, 19:22:07: Как устроена нейросеть BERT от Google - Системный Блокъ
- 2024-03-03, 19:13:07: LeorFinkelberg/Optimization
2024-02
- 2024-02-27, 20:55:59: Video005 — Видео
2024-01
- 2024-01-27, 07:22:19: Optimizing-Acceptance-Threshold-in-Credit-Scoring-using-Reinforcement-Learning/Source/simulation.py at master · MykolaHerasymovych/Optimizing-Acceptance-Threshold-in-Credit-Scoring-using-Reinforcement-Learning
- 2024-01-27, 07:05:06: ML и DS оттенки кредитного риск-менеджмента / Хабр
- 2024-01-27, 02:47:46: BI 3 (33) 2015 new.indd - 2.pdf
- 2024-01-26, 03:06:01: Вероятностное программирование / Хабр
- 2024-01-21, 03:00:34: graphs-matrices-optimization/lecture1.pdf at master · fast-algos/graphs-matrices-optimization
- 2024-01-21, 02:53:24: lecture-notes/Approximation Algorithms at 7726d59c6caeaa7ac874cbc1fb1e08353bfd98f3 · ChrisTX/lecture-notes
- 2024-01-20, 00:29:21: tlkahn/zkSNARKs-Cryptography-Protocol-Survey
- 2024-01-20, 00:23:51: theoretical-computer-science-2/randomized_complexity_classes.pdf at master · prokls/theoretical-computer-science-2
- 2024-01-19, 23:12:56: Теорема PCP, часть 1: Введение - Чжиху
- 2024-01-19, 23:07:56: mourad1081/complexity-exam-questions: Réponse aux questions de complexité
- 2024-01-19, 23:06:42: lectures-notes/Unimi/Algoritmi e Complessita at 0b0550ee36eab19d0d48f74e407beee1e5a3e78f · LucaCappelletti94/lectures-notes
- 2024-01-19, 22:51:02: BrownAppliedCryptography/notes: Scribed course notes.
- 2024-01-19, 22:49:27: mnielsen/expander_graph_notes: Notes on expander graphs
- 2024-01-19, 22:48:32: pragmaticTNT
- 2024-01-19, 22:43:13: expander_graph_notes/expanders_github.tex at 193880dde69c1aa2bdf974a4975a0b960a278575 · mnielsen/expander_graph_notes
- 2024-01-19, 02:36:35: Notes/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation/Lectures/lec_2.tex at 7e28b1c548da109b7e89a62acc6ed1076841352c · sleepymalc/Notes
- 2024-01-19, 02:16:16: Notes/EECS598-001-Approximation-Algorithms-and-Hardness-of-Approximation at 7e28b1c548da109b7e89a62acc6ed1076841352c · sleepymalc/Notes
- 2024-01-19, 01:41:18: Lectures/4elemproofAarhus2019.pdf at master · arielgabizon/Lectures
- 2024-01-19, 01:10:29: complexityPoster/poster.pdf at master · Landarzar/complexityPoster
- 2024-01-19, 00:54:25: pcp/final.tex at master · jarrodmillman/pcp
- 2024-01-18, 22:17:49: SanskarX10/Coding-Graph-Theory-101: Coding and explanation of Graph theory algorithms used in computer science in python-3 . These set of notebooks acts as a course in graph theory.
- 2024-01-18, 22:16:14: rjwrobel86/Python4Statistics: Python Scripts and Jupyter Notebooks for Prof. Robert Wrobel's Applied Business Statistics course at Webster University and anybody else who wants to learn!
- 2024-01-18, 22:04:34: hishamcse/Discrete-Math-Specialization-Coursera-: This repository contains the materials, python codes for the quiz and some codes implemented using jupyter notebook related to the specialization ( Introduction to Discrete Mathematics In Computer Science)
- 2024-01-18, 21:52:09: i40a/python-for-industry40: Jupyter Notebook files from the course Python for Industry 4.0.
- 2024-01-18, 21:50:24: kylebeggs/Numerical-Methods-in-Python: A collection of Python notebooks covering topics in an undergraduate Numerical Methods in Engineering course.
- 2024-01-18, 21:49:05: sslotin/universum-dl: Some notebooks from a Deep Learning mini-course taught in Summer '18
- 2024-01-18, 21:43:06: ali-tny/boyd-convex-optimisation-py: homework notebooks for the Stanford Convex Optimisation course in python (rather than Matlab)
- 2024-01-18, 21:40:45: Novota15/fourier-transforms-in-python: A jupyter python notebook that provides a crash course on Fourier Series, Fourier Transforms, Fast Fourier Transforms, and improving Chebyshev Interpolation with FFT
- 2024-01-18, 21:37:53: nivkeren/computational-methods: computational-methods course notebooks
- 2024-01-18, 21:36:24: ptah23/audio-transformers-course-notebooks: Python notebooks for hugging face audio transformers course
- 2024-01-18, 21:31:16: iutzeler/refresher-course: Jupyter Notebooks for practical sessions of the "Refresher Course in Matrix Analysis and Numerical Optimization" at Université Grenoble Alpes
- 2024-01-18, 21:30:20: codeninja55/mathematic_notebooks: A repository store for all mathematic references, jupyter notebooks, and notes from various courses taken.
- 2024-01-18, 21:26:26: juanklopper/Linear-algebra-for-data-science-with-python: Jupyter notebooks for my course on linear algebra using symbolic python.
- 2024-01-18, 21:19:14: Milwa97/A-level-math: A level math course in form of jupyter notebooks. The aim of the course is to develop mathematical intuition and a better understanding of mathematics at the post-elementary level
- 2024-01-18, 21:18:21: aezarebski/aas-extended-examples: A collection of notebooks used in the tutorials for the applied analytic statistics course in 2020
- 2024-01-18, 21:17:45: raghurama123/NumericalMethods: Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.github.io/teaching.html)
- 2024-01-18, 21:16:47: ymlai87416/ComputationalFinance_notebook: Notebook and assignment for Coursera course: Introduction to Computational Finance and Financial Econometrics by Eric Zivot
- 2024-01-18, 21:13:14: Unipisa/HLT: Notebooks for course HLT
- 2024-01-18, 21:13:01: Pengyue-Lab/uiuc-cs357-fa21-scripts: A repository of useful scripts for the course CS357 in the form of Jupyter Notebook.
- 2024-01-18, 21:10:36: inducer/numpde-notes: Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
- 2024-01-18, 21:09:14: NumericalOptimization/Lab2_GradientDescent at master · iutzeler/NumericalOptimization
- 2024-01-18, 21:05:56: garth-wells/IA-maths-Jupyter: Notebooks in support of of the Part IA (Michaelmas Term) mathematics course at the Department of Engineering at University of Cambridge
- 2024-01-18, 21:00:16: SSQ/Coursera-Stanford-Greedy-Algorithms-Minimum-Spanning-Trees-and-Dynamic-Programming: Notebook for quick search
- 2024-01-18, 20:58:40: inducer/numerics-notes: Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing
- 2024-01-18, 19:50:42: croach/oreilly-matplotlib-course: Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
- 2024-01-18, 19:50:04: z4ir3/finance-courses: Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
- 2024-01-18, 19:49:32: jansenicus/www-coursera-downloader: This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.
- 2024-01-18, 19:48:16: fastai/numerical-linear-algebra-v2: Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
- 2024-01-18, 19:47:48: yourwanghao/CMUComputationalPhotography: Jupyter Notebooks for CMU Computational Photography Course 15.463
- 2024-01-18, 19:45:02: lmarti/evolutionary-computation-course: Jupyter/IPython notebooks about evolutionary computation.
- 2024-01-18, 19:43:06: mandli/intro-numerical-methods: Jupyter notebooks and other materials developed for the Columbia course APMA 4300
- 2024-01-17, 19:39:02: ageron/tf2_course: Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
- 2024-01-17, 19:33:55: fastai/numerical-linear-algebra: Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
- 2024-01-16, 07:43:24: juanklopper/MIT_OCW_Linear_Algebra_18_06: IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
- 2024-01-16, 07:43:04: xuwenhao/geektime-ai-course: Jupyter Notebooks for Geektime AI Course
- 2024-01-16, 07:42:49: ML-course/master: A machine learning course using Python, Jupyter Notebooks, and OpenML
- 2024-01-16, 07:39:44: dataflowr/notebooks: code for deep learning courses
- 2024-01-16, 07:38:51: FurkanGozukara/Stable-Diffusion: Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
- 2024-01-16, 07:37:44: phlippe/uvadlc_notebooks: Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
- 2024-01-16, 07:36:44: fastai/course22: The fast.ai course notebooks
- 2024-01-16, 07:35:36: mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- 2024-01-16, 07:30:12: peremartra/Large-Language-Model-Notebooks-Course: Practical course about Large Language Models.
- 2024-01-16, 07:29:16: QS_combinatorics/Oralists_Aug142023.ipynb at main · aperham90/QS_combinatorics
- 2024-01-16, 07:28:41: numerical-linear-algebra/nbs/2. Topic Modeling with NMF and SVD.ipynb at master · fastai/numerical-linear-algebra
2023
2023-11
- 2023-11-12, 16:18:02: fresheye/Code.gs at master · d-kirsanov/fresheye
- 2023-11-11, 17:52:20: bitbank2/TIFF_G4: A set of highly optimized functions for decoding and displaying 1-bpp CCITT G4 images
2023-10
- 2023-10-19, 07:40:49: (3) Lectures on Sphere Arrangements – the Discrete Geometric Side | Request PDF
- 2023-10-02, 23:59:09: How to Partially Bypass Gurobi's Academic IP Validation - sproul.xyz
2023-09
- 2023-09-17, 22:31:02: Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption
- 2023-09-17, 22:30:48: taeyun1010/HomFingerPrintAuth
2023-08
- 2023-08-05, 16:03:43: ch17.pdf
- 2023-08-05, 16:03:30: kelbyludwig (Kelby Ludwig) / Followers
2023-06
- 2023-06-06, 16:10:06: Geometrein/dashmap.io: DashMap is an open source web platform that gathers, analyses and visualises urban data.
- 2023-06-06, 15:51:02: nhabbash/transport-network-analysis: Graph-based analysis of a city's public transportation network
- 2023-06-05, 05:58:48: Code search results · GitHub
- 2023-06-05, 05:58:34: PBF Format — OpenStreetMap Wiki
- 2023-06-05, 05:56:56: GitHub - winstonyym/urbanity at db0fa19f0ced219b1bbf4daf146474c649d0d765
2023-03
- 2023-03-20, 11:52:55: CASIA-Iris-Recognition/code at master · NVukobrat/CASIA-Iris-Recognition
- 2023-03-14, 22:56:49: rogerorr/NtTrace: An strace-like program for the Windows 'native' API
- 2023-03-14, 22:52:46: Create Point Cloud — PyVista 0.38.4 documentation
- 2023-03-12, 22:38:15: FULLTEXT01.pdf
- 2023-03-10, 03:47:08: Создаём анимационные обучающие видео на Python с помощью Manim / Хабр
- Первый видео-курс по Python мне подкинул сосед, спец. по видео пост продакшн. Он его учил чтобы писать скрипты для Houdini.
- 2023-03-09, 19:39:38: Xpitfire/symbolicai: Compositional Differentiable Programming Library
- pip install symbolicai
- 2023-03-08, 23:08:15: Christofides algorithm - Wikipedia
- In July 2020 however, Karlin, Klein, and Gharan released a preprint in which they introduced a novel approximation algorithm and claimed that its approximation ratio is 1.5 − 10−36. Their method follows similar principles to Christofides' algorithm, but uses a randomly chosen tree from a carefully chosen random distribution in place of the minimum spanning tree.[5][6] The paper was published at STOC'21[7] where it received a best paper award.[8]
2022
2022-04
- 2022-04-27, 22:04:58: Nick Titterton
- X = cvx.Variable((V, V), PSD=True)
2022-03
- 2022-03-15, 10:41:48: The Traveling Salesman Problem in Theory & Practice Lecture 11: Branch & Cut & Concorde 8 April 2014 David S. Johnson - ppt download
- 2022-03-15, 09:30:35: GitHub - jvkersch/pyconcorde: Python wrapper around the Concorde TSP solver
- 2022-03-15, 09:30:26: GitHub - dmishin/tsp-solver: Travelling Salesman Problem solver in pure Python + some visualizers
- 2022-03-11, 03:25:24: GitHub - spacedeck/spacedeck-open: Spacedeck, a web based, real time, collaborative whiteboard application with rich media support
2021
2021-12
- 2021-12-01, 05:20:51: phdthesis/sec-introduction.tex at master · ccanonne/phdthesis · GitHub
2021-11
- 2021-11-26, 19:23:23: Active Calculus Landing Page
- 2021-11-21, 11:53:11: Tutorial: Verify Haskell Programs with hs-to-coq
- 2021-11-21, 03:05:00: Первый truly stateless оптимальный алгоритм модел-чекера и его проверка на Coq / Хабр
- Рынок труда и задачи сегодня — скорее академические. Да, есть компании, которые фигачат на коках-агдах что-то в прод (вроде во всяких боингах-BAE было что-то), но в чистом ресёрче больше шансов этим заниматься. Ну и плюс последнее время — блокчейн, там стараются применять формальные методы (например, чуваки из iohk систематически что-то доказывают на агде про свой блокчейн).
- 2021-11-20, 22:02:20: Учебник. Машинное обучение и Data Science: погружение в тему
-
Машинное обучение и Data Science: погружение в тему
Знания и опыт выпускников, преподавателей и друзей Школы анализа данных — в одном онлайн учебнике. Погрузитесь в ML и узнайте, какие технологии меняют лицо современной науки и дают жизнь сервисам, которыми пользуются миллионы людей.
-
- 2021-11-10, 02:57:35: Lead Coding by FRAZ - YouTube
-
Lead Coding by FRAZ
-
2021-10
- 2021-10-12, 10:13:18: OpenMined
2021-09
- 2021-09-23, 10:34:11: Что же не так с ДЭГ в Москве? / Хабр
- 2021-09-02, 16:34:43: Личная карточка пользователя
2021-08
- 2021-08-31, 14:25:23: Алгебраические типы данных и Python / Хабр
2021-07
- 2021-07-01, 16:12:00: Вероятностное программирование / Блог компании Яндекс / Хабр
-
Вероятностное программирование
Вероятностное моделирование является одним из мощнейших инструментов для специалиста по анализу данных. К сожалению, для его использования необходимо не только уверенно владеть
-
2021-06
- 2021-06-29, 21:56:20: Examples of constraint programming — DOcplex.CP: Constraint Programming Modeling for Python V2.20 documentation
- 2021-06-29, 21:55:42: Introduction — Python-MIP documentation
- 2021-06-29, 21:55:20: Data sets
2021-05
- 2021-05-30, 11:24:30: Facebook
- Аллен Дауни прямо радует - читается хорошо, без академической воды и понятно, с адекватными и ясными примерами практических задач. Последний раз все было так ясно и лаконично при перерешивании задач по терверу из советского учебника Вентцель и книги по байесовским методам Джона Крушке. Покрутил, наверное, в 10 раз в голове теорему Байеса и, вообще, понятие вероятности, условной вероятности, совместной вероятности, априорного и апостериорного распределения, сопряженного приора, pdf, pmf, cdf с разных сторон (и в очередной раз так и не просек простую идею бета-распределения, но, верю, она же есть) - ну чтобы чуйка развилась еще больше. Я честно, от всего сердца и ума, делал несколько подходов к прикладной байесовской статистике с разных сторон и с разными инструментами, прочитал, наверно несколько книг (поняв в них далеко не все) и не помню уже как много статей, но постоянно преследовал вопрос - а зачем и как это мне поможет в повседневной практике? Основная цель, которую я преследовал и до сих пор преследую для себя - научиться понимать "небольшие" данные и причины, стоящие за ними глубже, чем позволяют популярные статистические методы и мало кем, на самом деле, глубоко понимаемые доверительные интервалы на хи-квадратах, погоняемых группами сТЬЮдентов
2021-04
- 2021-04-15, 06:40:47: KNAPSACK_MULTIPLE - Data for the 01 Multiple Knapsack Problem
- 2021-04-09, 06:30:07: Code Editor
- 2021-04-06, 18:23:38: networkx pyvis.ipynb - Colaboratory
- 2021-04-03, 01:17:44: mesa-geo/README.md at master · Corvince/mesa-geo
- 2021-04-02, 19:03:23: Семейный бюджет, Google sheets и Python / Хабр
-
Localtunnel - https://localtunnel.github.io/www
Teleconsole - https://www.teleconsole.com/Pagekite - https://pagekite.net/
-
- 2021-04-02, 05:24:20: trobey/covid: A Coronovirus model in Python Mesa
- 2021-04-02, 05:11:20: Repast
- 2021-04-02, 05:05:17: Bioinformatics and other bits - A simple agent based infection model with Mesa and Bokeh
- 2021-04-02, 04:50:44: covid/COVID Agent Based Model.ipynb at master · killerfridge/covid
2021-03
- 2021-03-22, 16:22:55: Литература по AnyLogic - AnyLogic - Киберфорум
- 2021-03-19, 01:16:41: livejournal-export/download_comments.py at master · arty-name/livejournal-export · GitHub
- 2021-03-18, 08:51:01: vitus_wagner | Криптапокалипсис сегодня
- Schneier on Security: "No, RSA Is Not Broken"
https://www.schneier.com/blog/archives/2021/03/no-rsa-is-not-broken.html
Вобщем, реакция общества скептическая пока
- Schneier on Security: "No, RSA Is Not Broken"
- 2021-03-10, 01:54:19: EMO 2021 Competition-3LVRP
- 2021-03-04, 02:46:51: Index of /~irani/s18_cs262/HW
- 2021-03-04, 01:40:09: solution1.pdf
- 2021-03-01, 11:41:58: (13) (PDF) Solving the Quadratic Assignment Problem using the Swallow Swarm Optimization Problem
- 2021-03-01, 03:33:45: react-d3-tree - npm
- 2021-03-01, 03:19:41: anvaka/VivaGraphJS: Graph drawing library for JavaScript
2021-02
- 2021-02-21, 03:10:20: Objects Representations for Machine Learning system based on Lattice Theory / Хабр
- 2021-02-20, 17:12:08: Как выучить иностранный язык: алгоритм / Хабр
- 2021-02-20, 10:40:05: Is there a JS better than D3.js for graph visualization? - Quora
- Is there a JS better than D3.js for graph visualization?5 Answers
, works at MODUL University, ViennaIt would be extremely difficult to come up with a better framework for graph visualization in JavaScript than D3 for several reasons:
- D3 is built around all the normal web stuff like HTML, DOM, CSS, therefore there is no need to learn new technologies in order to use it.
- D3 is rather like a programming language for graphics. Leave aside the fact it’s written in JS, and it looks more like a Processing type of interpreted programming language.
- D3 has a big community behind it. While even 2–3 years there were still problems finding good documentation for it, right now however there shouldn’t be any issues with it.
- As other answers have mentioned, you can think of D3 as more of a basic utility that can be used to develop higher level charts/libraries, and as it turns out there are many of them. They are not better than D3, but rather they use D3.
In general if you need something better you need to define in which sense? If you need better speed? Better functionality? Faster rendering speed versus faster development time? Depending on the answer you might find faster graphics library, e.g., if they were developed directly in C, however I doubt that beside Processing or D3 you will find anything faster in the JavaScript world. Be aware though that both Processing and D3 have a steep learning curve, and Processing also requires you to use a lot of mathematics.
Related QuestionsMore Answers Below, Digital Media TechnologistAnswered 3 years ago · Upvoted by , Mater's Master of Science in Computer Science & D3.js, University of Massachusetts, Dartmouth (2018) · Author has 63 answers and 625.1K answer viewsYou can imagine D3 to be more of a framework you can use to design any type of visualization. It will require you to invest time and effort in learning, manipulation and cleaning of data, scaling, labeling etc. You can basically build any 2D visualizations you like from simple charts like bar and pie, to complex PCP and even custom visualizations. It is free, open sourced, and comes with a lot of good documentation and help from stack overflow.
(I had created this DOTA2 map using D3 and had done some analysis - DotA2 Spatio-Temporal Game Analysis
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- 2021-02-20, 10:32:26: Cytoscape.js
- 2021-02-20, 10:29:31: Vega
- 2021-02-20, 10:29:13: Sigma js
- 2021-02-11, 11:00:24: Сложность вычислений 1. Вводная лекция - YouTube
- 2021-02-09, 23:09:20: caiyangcy/VRP-Algorithms
- 2021-02-09, 23:08:38: Solution Methods for VRP | Vehicle Routing Problem
- 2021-02-09, 23:08:23: 494.pdf
- 2021-02-09, 00:34:16: django-mptt-admin
- filter_tree_queryset
- 2021-02-07, 11:22:47: Making Artistic Maps with Python. Rock Chalk Jayhawk! | by Frank Ceballos | Towards Data Science
- 2021-02-07, 11:21:11: Как создавать красивые карты с помощью Python / Блог компании SkillFactory / Хабр
- 2021-02-04, 20:32:08: Curved Links - bl.ocks.org
- 2021-02-03, 12:23:00: Travelling Salesman Problem
- 2021-02-02, 14:14:27: Как «Ревущий Котёнок» с Reddit заработал 28.500% на акциях GameStop: объясняю простым языком / Хабр
- С. Вайн, „Опционы. Курс для профессоналов“, 2003.
- Я свои деньги (401k) в фонде могу инвестировать в довольно широких пределах, от высокорисковых активов до низкорисковых и низкодоходных (типа гособлигаций).
2021-01
- 2021-01-30, 03:50:08: Box Stacking Problem | DP-22 - GeeksforGeeks
- 2021-01-26, 07:42:08: Welcome to the QGIS project!
- 2021-01-26, 07:28:36: Делаем маршрутизацию (роутинг) на OpenStreetMap. Введение / Хабр
- 2021-01-26, 06:38:53: Простая логистика своими руками / Хабр
- 2021-01-26, 06:32:51: Яндекс.Маршрутизация vs Sygic. Замещаем импортозамещение
- 2021-01-26, 06:05:38: pgr_dijkstra — pgRouting Manual (2.2)
- 2021-01-26, 05:34:10: Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации / Блог компании Яндекс / Хабр
- Еще раз — представленное решение настолько плохо, что любой Open Source роутинг типа PgRouting или Spatialite Routing будет на порядки быстрее (100-1000 раз, навскидку).
- 2021-01-26, 04:22:42: Как мы сэкономили время курьерам. Логистика в Яндекс.Еде / Блог компании Яндекс / Хабр
- Как мы сэкономили время курьерам. Логистика в Яндекс.Еде
- 2021-01-26, 04:22:39: Яндекс.Маршрутизация: как мы окунулись в логистику и решили поменять будущее / Блог компании Яндекс / Хабр
- Было бы интересно если бы вы выложили матрицу и точки для 3000 локаций, ваше решение, чтобы посмотреть бенчмарк (мы тоже занимаемся VRP задачами)
- Солвер Яндекс.Маршрутизации использует комбинацию алгоритма симуляции отжига и генетического алгоритма.
- заточенных именно под MVRP-задачи и готовых к интеграции с системами управления предприятием. В России известны VeeRoute, Maxoptra, Антор.
- Программа написана хорошими программистами, она умеет разбрасывать грузы по машинам и строить оптимальный (по времени или пробегу) маршрут объезда заказов, учитывая кучу параметров. Но логист этой функциональностью никак не пользуется. Зато он активно использует визуализацию заказов на карте.
- Яндекс.Маршрутизация: как мы окунулись в логистику и решили поменять будущее
- 2021-01-26, 04:22:37: Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации / Блог компании Яндекс / Хабр
- Сотни тысяч маршрутов в секунду на ядро. Опыт Яндекс.Маршрутизации
- 2021-01-13, 23:28:35: Что вас ждет на курсе Алгоритмов в Яндекс.Практикуме / Хабр
- Это вы еще в школе21 от Сбера не учились.
Там всё то же, но бесплатно, и преподавателей нет совсем - Оставлю ссылку openedu.ru/course/ITMOUniversity/PADS
Единственный момент, в 2017 году, когда я проходил, графов не было. Может сейчас добавили. - Вышеупомянутый leetcode, например, не оценивает производительность работы с консолью, оценивается только работа алгоритма. Также собственно и на hackerrunk, только там, в отличии от leetcode, функции чтения из консоли и далее вывод ответа в консоль реализованы заранее и скрыты от пользователя (но код можно развернуть и посмотреть).
- Подтверждаю — 50-100 решенных литкодов позволяют пройти алгоритм секцию в том же яндексе
- Это вы еще в школе21 от Сбера не учились.
- 2021-01-12, 16:25:42: Аксиома выбора и принципиальные ограничения человеческого разума / Хабр
- 2021-01-12, 11:33:42: Computational Complexity: Impagliazzo's Five Worlds
2020
2020-12
- 2020-12-15, 21:12:50: Как попадает товар в магазины «Леруа Мерлен» с точки зрения математики заказа / Блог компании Леруа Мерлен / Хабр
- 2020-12-01, 22:40:34: BI 3 (45) 2018 RU.indd - 2.pdf
2020-11
- 2020-11-26, 02:18:46: Заметки Датасатаниста: что делать, если перед вами оказалась NP-полная задача / Блог компании RUVDS.com / Хабр
- 2020-11-26, 02:15:02: Что такое логическое программирование и зачем оно нам нужно / Хабр
- 2020-11-26, 01:52:18: ITMO Smart Waste Management system
- 2020-11-26, 01:25:36: Circulation problem - Wikipedia
- 2020-11-26, 01:24:20: gboeing/osmnx: OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
- 2020-11-26, 01:24:15: OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks - ScienceDirect
- 2020-11-17, 09:41:05: A method for designing minimum‐cost multisource multisink network layouts - Heijnen - 2020 - Systems Engineering - Wiley Online Library
- 2020-11-17, 09:40:42: algorithms - Minimizing transportation cost through a network, multiple source/sinks - Computer Science Stack Exchange
- 2020-11-17, 08:55:10: (1) (PDF) The Logistic Model for Decision Making in Waste Management
2020-10
- 2020-10-13, 14:31:27: vasil-sd/engineering-sw-hw-model-checking-letures: Lectures in MIPT: intro to engineering software using model-checking.
- Обзорный курс по model-checking/model-finding, читаемый осенью 2020 для студентов 2-го курса МФТИ.
- 2020-10-13, 14:10:16: The Science of Deep Specification
- 2020-10-13, 14:06:36: engineering-sw-hw-model-checking-letures/Lecture1.pdf at master · vasil-sd/engineering-sw-hw-model-checking-letures
- 2020-10-13, 14:00:10: «Введение в верификацию программ» - YouTube
- 2020-10-13, 13:54:55: jsCoq – Use Coq in Your Browser
- 2020-10-13, 02:45:30: Приближенное решение задач комбинаторной оптимизации: алгоритмы и трудность, осень 2016
- 2020-10-13, 02:40:51: Введение в язык формальной верификации Coq, осень 2019
- 2020-10-13, 02:35:10: Алгоритмы: дополнительные главы, осень 2020
- 2020-10-13, 02:33:55: Fine-grained complexity, осень 2020
- 2020-10-13, 02:33:04: Эффективные алгоритмы и коммуникационная сложность, весна 2019
- 2020-10-13, 02:32:30: Вероятностные алгоритмы, весна 2020
- 2020-10-13, 02:08:22: Проблема останова лжеца Гёделя и брадобрея Кантора / Хабр
- 2020-10-12, 00:49:47: Исследователи смогли преодолеть барьер в улучшении решения задачи коммивояжера / Хабр
- Исследователи смогли преодолеть барьер в улучшении решения задачи коммивояжера
- 2020-10-04, 14:13:10: [[[spoj/tag]]graph-theory Sphere Online Judge (SPOJ)]
2020-09
- 2020-09-12, 08:21:26: Специалисты по информатике хотят загнать в угол гипотезу Коллатца / Хабр
- 2020-09-01, 20:36:26: Интерактивная визуализация алгоритмов на базе Jupyter / Хабр
2020-08
- 2020-08-01, 17:35:26: Книга «Гид по Computer Science для каждого программиста» / Блог компании Издательский дом «Питер» / Хабр
2020-07
- 2020-07-08, 10:38:47: Hoare: Hoare Logic, Part I
- 2020-07-03, 10:27:44: Дерандомизация и псевдослучайность (Д.В. Мусатов, осень 2018) — Кафедра дискретной математики
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Дерандомизация и псевдослучайность (Д.В. Мусатов, осень 2018)
Лектор - доц. Д.В. Мусатов
Спецкурс проходит по четвергам в 16:00 в ШАД, Яндекс. Начало - 13.09.2018.
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- 2020-07-02, 22:58:04: Multiresolution alignment for multiple unsynchronized audio sequences using sequential Monte Carlo samplers - Multiresolution-alignment-for-multiple-unsynchronized-audio-sequences-using-Sequential-Monte-Carlo-samplers.pdf
- See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/321767378Multiresolution alignment for multiple unsynchronized audio sequencesusing Sequential Monte Carlo samplers
- 2020-07-02, 21:35:32: Участник:StasFomin/Bookmarks/DocStruct — DISCOPAL
- 2020-07-02, 19:44:44: Проблема перебора
- 2020-07-02, 19:37:12: Lecture26
- 2020-07-02, 18:25:13: Algorithms | Coursera
В After Effects, например, можно использовать JavaScript, и сделать тоже самое, но с большим комфортом