Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,697 results
Machine learning on FPGAs using HLS
A deep learning package for many-body potential energy representation and molecular dynamics
Flax is a neural network library for JAX that is designed for flexibility.
Deep learning software to decode EEG, ECG or MEG signals
Self-hosted realtime soundscape analyser for birds, bats and other wildlife. Multi-model local AI inference, runs 24/7 on a Raspberry Pi.
A machine learning compiler for GPUs, CPUs, and ML accelerators
Containers for machine learning
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
VisualTorch aims to help visualize Torch-based neural network architectures.
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Brevitas: neural network quantization in PyTorch
A machine learning software for extracting information from scholarly documents
Your AI Game Dev Hub. The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Low-code framework for building custom LLMs, neural networks, and other AI models
Deep learning quantum Monte Carlo for electrons in real space
Elegant and Performant Deep Learning
Machine Learning and Agentic AI Resources, Practice and Research
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Graph Neural Networks in Julia
Pipeline-parallel LLM inference across GPUs on separate machines.
24,523 repositories in the index in total.
