Deep Learning GitHub Repositories (2026) · Open Source Tools

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Multilingual neural TTS (6 languages: JA/EN/ZH/ES/FR/PT, code supports SV) — C++, C#, Rust, Go, Python, npm (WASM). VITS + Prosody, streaming, CUDA/CoreML/DirectML. pip install piper-plus | npm install piper-plus | cargo install piper-plus-cli

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

A native Mac App for LLM fine-tuning on Apple Silicon — fully on-device, fully open source.

A framework for high-performance medical image processing, neural network inference and visualization

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

We write your reusable computer vision tools. 💜

Making large AI models cheaper, faster and more accessible

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

A toolkit for making real world machine learning and data analysis applications in C++

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Fast and Accurate ML in 3 Lines of Code

Fast and accurate AI powered file content types detection

ModelScope: bring the notion of Model-as-a-Service to life.

Flower: A Friendly Federated AI Framework