A library for efficient similarity search and clustering of dense vectors.

Generative Models by Stability AI

High-Resolution Image Synthesis with Latent Diffusion Models

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

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

Quick scripts to calculate CLIP text-image similarity

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

Taming Transformers for High-Resolution Image Synthesis

LAVIS - A One-stop Library for Language-Vision Intelligence

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

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Recipe for a General, Powerful, Scalable Graph Transformer

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.