Deep Learning GitHub Repositories (2026) · Open Source Tools

A flexible, high-performance serving system for machine learning models

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Scalable and user friendly neural :brain: forecasting algorithms.

Detect and warn about suspicious IPs logging into Nextcloud

A Pythonic framework to simplify AI service building

Pytorch domain library for recommendation systems

A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.

Hyperparameter Experiments with TensorFlow and Keras

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

A toolkit for time series machine learning and deep learning

Open Source and Free License Plate Recognition Software

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

🤗 image matching webui

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

Pretrained model hub for Keras 3.

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.