Popular GitHub Repositories for Abstract Algebra

100 Days of ML Coding

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

CUDA Templates for Linear Algebra Subroutines

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Statistical Machine Intelligence & Learning Engine

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

TensorLy: Tensor Learning in Python.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

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

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

”数学不难“ 之 《线性代数不难》上下册；欢迎批评指正

The OpenCog (hyper-)graph database and graph rewriting system

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

A lightweight high performance tensor algebra framework for modern C++

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

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

List of DL topics and resources essential for cracking interviews

Complete path for a beginner to become a Machine Learning Scientist!

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: