pytorch

https://github.com/Lightning-AI/lightning-thunder Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

🔧🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.

https://github.com/roboflow/notebooks Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding D

https://github.com/fishaudio/fish-diffusion

An easy to understand TTS / SVS / SVC framework

https://github.com/homebrewltd/WhisperSpeech An Open Source text-to-speech system built by inverting Whisper. 🔗 https://collabora.github.io/WhisperSpeech/

https://github.com/coqui-ai/TTS 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

https://github.com/neonbjb/ocotillo Performant and accurate speech recognition built on Pytorch

Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6