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23 repositories · updated 2026-11-07
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1Avik-Jain / 100-Days-Of-ML-Code100 Days of ML CodingMIT · PermissiveInactiveInsufficient rank history52,042
2williamfiset / algorithmsA collection of algorithms and data structuresJavaMIT · PermissiveInsufficient rank history18,886
3deeplearning4j / 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 history14,274
4fastai / numerical-linear-algebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra courseJupyter NotebookLicense not declaredInactiveInsufficient rank history11,016
5Visualize-ML / Book4_Power-of-MatrixBook_4_"Matrix Power" | Iris Book: From addition, subtraction, multiplication and division to machine learning; now available!Jupyter NotebookLicense not declaredInactiveInsufficient rank history10,157
6Visualize-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 NotebookLicense not declaredInactiveInsufficient rank history7,702
7HenryNdubuaku / 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 history7,694
8ahmedbahaaeldin / 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.License not declaredInactiveInsufficient rank history7,691
9haifengl / smileStatistical Machine Intelligence & Learning EngineJavaLicense not declaredInsufficient rank history6,430
10williamngan / ptsA library for visualization and creative-codingTypeScriptApache-2.0 · PermissiveInsufficient rank history5,365
11louisfb01 / 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!MIT · PermissiveInactiveInsufficient rank history5,309
12jonkrohn / ML-foundationsMachine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer ScienceJupyter NotebookMIT · PermissiveInactiveInsufficient rank history4,913
13dimforge / nalgebraLinear algebra library for Rust.RustApache-2.0 · PermissiveInsufficient rank history4,810
14Moataz-Elmesmary / Data-Science-RoadmapData Science Roadmap from A to ZMIT · PermissiveInactiveInsufficient rank history4,410
15MLNLP-World / MIT-Linear-Algebra-NotesMLNLP: Notes for MIT-Linear-AlgebraLicense not declaredInactiveInsufficient rank history3,883
16mathnet / 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 · PermissiveInactiveInsufficient rank history3,774
17Visualize-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 NotebookLicense not declaredInsufficient rank history3,628
18Visualize-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 NotebookLicense not declaredInactiveInsufficient rank history3,413
19weijie-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 · PermissiveInactiveInsufficient rank history2,577
20bbodi / notecalc3NoteCalc is a handy calculator trying to bring the advantages of Soulver to the web.RustAGPL-3.0 · Share derivative sourceInactiveInsufficient rank history1,192
