Popular GitHub Repositories for Algebraic Structures

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Represent, send, store and search multimodal data

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Profile-Based Long-Term Memory for AI Applications

Build real C projects with 18 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

? awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

​AI-Powered open-source deepwiki generator​ built with Rust – Instantly analyze project structures, decode dependencies, and generate professional architecture docs with AI.

Experimental keras implementation of novel neural network structures

DGMs for NLP. A roadmap.

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

Algebraic enhancements for GEMM & AI accelerators

A curated list of topological deep learning (TDL) resources and links.