Deep Learning GitHub Repositories (2026) · Open Source Tools

Python library for Reinforcement Learning.

AMD's graph optimization engine.

A customisable 2D platform for agent-based AI research

OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.

The practitioner's forecasting library

VisualTorch aims to help visualize Torch-based neural network architectures.

Python suite for neuroscience research across all modalities.

Deep learning ECG models implemented using PyTorch

A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.

Implementation of Danijar's latest iteration for his Dreamer line of work

PyTorch Connectomics: segmentation toolbox for EM connectomics

ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.

Advanced Chess Assistance System for Chess.com, Lichess.org, Pychess.org and more. Hassle-free 1-click install, no downloading. All devices and browsers supported.

The V Tensor Library

RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning

A Python library for identifying bird species by their sounds.

CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust

Turn your Python functions into interactive apps! Fast Dash is an innovative way to deploy your Python code as interactive web apps with minimal changes.