Deep Learning GitHub Repositories (2026) · Open Source Tools

End-to-End Speech Processing Toolkit

Neural Network Compression Framework for enhanced OpenVINO™ inference

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A scalable inference server for models optimized with OpenVINO™

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.

A concise but complete full-attention transformer with a set of promising experimental features from various papers

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

Stockfish NNUE (Chess evaluation) trainer in Pytorch

zea: A Toolbox for Cognitive Ultrasound Imaging

An Open Source Machine Learning Framework for Everyone

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

SeisBench - A toolbox for machine learning in seismology

Deep learning software to decode EEG, ECG or MEG signals

Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

A toolkit to run Ray applications on Kubernetes

Find why PyTorch training is slow, compare runs, and catch performance regressions in CI.