#Linear-algebra
Showing 60 of 91 repositories tagged #linear-algebra, ranked by stars
100 Days of ML Coding
Suite 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...
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Statistical Machine Intelligence & Learning Engine
A library for visualization and creative-coding
A 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!
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Linear algebra library for Rust.
Become a cracked AI/ML Research Engineer
Data Science Roadmap from A to Z
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
Lecture 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.
Linear algebra foundation for the Rust programming language
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Owl - OCaml Scientific Computing @ https://ocaml.xyz
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Teaching Materials for Dr. Waleed A. Yousef
Courses, Articles and many more which can help beginners or professionals.
A polyhedral compiler for expressing fast and portable data parallel algorithms
Quantitative Interview Preparation Guide, updated version here ==>
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Linear algebra in TypeScript.
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Rust numeric library with high performance and friendly syntax
Repository to store what we have studied. :book: We want everyone to get a job through TechnicalNote.
Linear Algebra for Java
Swift Matrix Library
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
oj! Algorithms
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
List of DL topics and resources essential for cracking interviews
List of resources & possible pathway for the Math of Machine Learning and AI.
Directory of Fortran codes on GitHub, arranged by topic
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.
Labs for the Foundations of Applied Mathematics curriculum.
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Open-source runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).
moved to https://github.com/desicochrane/datasci
Rust Scientific Library. ODE, DAE (Runge-Kutta), and PDE solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus. Numerical continuation.
L1: Tensor Studio — The playground for tensors
The V Tensor Library
A book on the mathematical foundations of AI from an engineering perspective.
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Using computational thinking to get deep insights on the foundations of linear algebra
Open-source machine learning framework for Java. Designed with speed and lightweight in mind.
High-performance C++ tensor library with NumPy/PyTorch-like API
Spatial objects and computations based on NumPy arrays.
Intuitive math descriptions and animations (like 3b1b)
Source of BLAS and LAPACK via OpenBLAS
A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible and engaging. It offers a variety of AI-related problems for learners at different skill levels.