Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Robust Speech Recognition via Large-Scale Weak Supervision
A latent text-to-image diffusion model
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TensorFlow code and pre-trained models for BERT
A library for efficient similarity search and clustering of dense vectors.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Official Code for DragGAN (SIGGRAPH 2023)
Vane is an AI-powered answering engine.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Fully open reproduction of DeepSeek-R1
Graph Neural Network Library for PyTorch
Universal LLM Deployment Engine with ML Compilation
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Development repository for the Triton language and compiler
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
End-to-End Object Detection with Transformers
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377