Pytorch GitHub Repositories (2026) · Open Source Tools

A library for training and deploying machine learning models on Amazon SageMaker

C++ Implementation of PyTorch Tutorials for Everyone

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

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

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

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).

Examples of programs built using Modal

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

Pretrained model hub for Keras 3.

Python library for Reinforcement Learning.

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

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

[ICCV 2025, Highlight] BUFFER-X: Zero-Shot Point Cloud Registration

FlagGems is an operator library for large language models implemented in the Triton Language.

Deep learning ECG models implemented using PyTorch

Canonical package for name-based race and ethnicity estimates using Census, voter-file, and Wikipedia/Wikidata models.

S2FFT: Differentiable and accelerated spherical transforms

TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels

PyTorch Connectomics: segmentation toolbox for EM connectomics

Repository for OpenVINO's extra modules