🤗 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.

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

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

LLM-driven debugger server – give your AI agents step-through debugging superpowers

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

The best ChatGPT that $100 can buy.

Enjoy the magic of Diffusion models!

A pipeline parallel training script for diffusion models.

Some simple Blender scripts for rendering paper figures

I seek to draw from the philosophies embedded in AI research to inspire deeper reflection on life — exploring how the principles that guide intelligent systems can illuminate the way we live, think…

ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).

Sparse Autoencoders for Stable Diffusion XL models.

Official code for arxiv paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data

[ICLR24] Implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

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

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

configurations of my computer and my brain

Google Research

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning