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apex

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

bert-pytorch

Google AI 2018 BERT pytorch implementation

ckirchhoff2021

Config files for my GitHub profile.

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

ddpm

PyTorch DDPM implementation

deepmind

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

generative-models

Generative Models by Stability AI

imagesynthesis

image synthesis demos

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

llama

Inference code for Llama models

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

llama3

The official Meta Llama 3 GitHub site

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

megatron-lm

Ongoing research training transformer models at scale

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

open_clip

An open source implementation of CLIP.

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

stable-diffusion

A latent text-to-image diffusion model

transformers

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

vision

Datasets, Transforms and Models specific to Computer Vision

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.