pytorch

🔧🔗github hf diffusers

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

🕸️🔗huggingface.co/docs/diffusers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications. 🔗 https://lightning.ai/docs/torchmetrics/

🔧🔗https://github.com/modelscope/FunASR A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing

🔧🔗https://github.com/modelscope/data-juicer Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

🔧🔗https://github.com/lucidrains/transfusion-pytorch

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

https://github.com/roboflow/supervision We write your reusable computer vision tools. 💜

🔧🔗https://github.com/IAHispano/Applio

A simple, high-quality voice conversion tool focused on ease of use and performance

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.

🔧🔗https://github.com/huggingface/lerobot

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

https://github.com/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.

🔧🔗https://github.com/yandexdataschool/Practical_RL A course in reinforcement learning in the wild

🔧🔗https://github.com/lucidrains/grokfast-pytorch

Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"

https://github.com/Lightning-AI/pytorch-lightning 🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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

🔧🔗https://github.com/lucidrains/e2-tts-pytorch Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch

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/NVIDIA/apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

🔧🔗https://github.com/yandexdataschool/deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

🔧🔗https://github.com/modelscope/AdaSeq

An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models