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Repositories in this selection 23 · UTC 2026-11-03
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1—AAvik-Jain / 100-Days-Of-ML-Code100 Days of ML CodingUnknownMIT · PermissiveInsufficient rank history52,02311,631——2023-12-29
2—Wwilliamfiset / algorithmsA collection of algorithms and data structuresJavaMIT · PermissiveInsufficient rank history18,8864,526——2026-06-23
3—Ddeeplearning4j / deeplearning4jSuite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...JavaApache-2.0 · PermissiveInsufficient rank history14,2753,819——2026-10-05
4—Ffastai / numerical-linear-algebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra courseJupyter NotebookUnknown · Restricted / unknownInsufficient rank history11,0152,677——2024-04-16
5—VVisualize-ML / Book4_Power-of-MatrixBook_4_"Matrix Power" | Iris Book: From addition, subtraction, multiplication and division to machine learning; now available!Jupyter NotebookUnknown · Restricted / unknownInsufficient rank history10,1531,611——2026-05-01
6—VVisualize-ML / Book3_Elements-of-MathematicsBook_3_"Elements of Mathematics" | Iris Book: From addition, subtraction, multiplication and division to machine learning; now on the shelves; you are welcome to continue correcting mistakes, and students who correct more mistakes will receive free books!Jupyter NotebookUnknown · Restricted / unknownInsufficient rank history7,6991,411——2026-05-01
7—Aahmedbahaaeldin / From-0-to-Research-Scientist-resources-guideDetailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.UnknownUnknown · Restricted / unknownInsufficient rank history7,6891,060——2024-03-14
8—HHenryNdubuaku / maths-cs-ai-compendiumBecome a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.TypeScriptApache-2.0 · PermissiveInsufficient rank history7,688945——2026-07-18
9—Hhaifengl / smileStatistical Machine Intelligence & Learning EngineJavaNOASSERTION · Restricted / unknownInsufficient rank history6,4291,150——2026-11-03
10—Wwilliamngan / ptsA library for visualization and creative-codingTypeScriptApache-2.0 · PermissiveInsufficient rank history5,364183——2026-10-28
11—Llouisfb01 / start-machine-learningA complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!UnknownMIT · PermissiveInsufficient rank history5,309696——2026-01-23
12—Jjonkrohn / ML-foundationsMachine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer ScienceJupyter NotebookMIT · PermissiveInsufficient rank history4,9112,322——2024-11-20
13—Ddimforge / nalgebraLinear algebra library for Rust.RustApache-2.0 · PermissiveInsufficient rank history4,809574——2026-09-30
14—MMoataz-Elmesmary / Data-Science-RoadmapData Science Roadmap from A to ZUnknownMIT · PermissiveInsufficient rank history4,407629——2025-12-06
15—MMLNLP-World / MIT-Linear-Algebra-NotesMLNLP: Notes for MIT-Linear-AlgebraUnknownUnknown · Restricted / unknownInsufficient rank history3,881699——2023-07-31
16—Mmathnet / mathnet-numericsA numerical-computing library for .NET and Mono, providing linear algebra, probability and statistics, interpolation, integration, regression, FFT, and other mathematical methods.C#MIT · PermissiveInsufficient rank history3,776937——2025-03-03
17—VVisualize-ML / Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization"Mathematics Is Not Difficult" - Volume 1 and 2 of "Linear Algebra Is Not Difficult", 66 topics completed; criticisms and corrections welcomeJupyter NotebookUnknown · Restricted / unknownInsufficient rank history3,616655——2026-09-26
18—VVisualize-ML / Book7_Visualizations-for-Machine-LearningBook_7_“Machine Learning” | Iris Book: From addition, subtraction, multiplication, and division to machine learning; welcome to feedback and corrections.Jupyter NotebookUnknown · Restricted / unknownInsufficient rank history3,409647——2026-05-01
19—Wweijie-chen / Linear-Algebra-With-PythonLecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.Jupyter NotebookMIT · PermissiveInsufficient rank history2,579616——2024-09-05
20—Bbbodi / notecalc3NoteCalc is a handy calculator trying to bring the advantages of Soulver to the web.RustAGPL-3.0 · Share derivative sourceInsufficient rank history1,19247——2026-03-12
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