SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos

code of Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders

A summary of related works about flow matching, stochastic interpolants

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

Ongoing research training transformer models at scale

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

A natural language interface for computers

Awesome-LLM: a curated list of Large Language Model

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

Official Code for DragGAN (SIGGRAPH 2023)

[ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

HPC helper for distributed training.

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

SwinGNN: diffusion model for graph generation

Diffusion model papers, survey, and taxonomy

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Solutions to Linear Algebra Done Right, by Sheldon Axler.

Transformer-based Spectral Graph Neural Networks

Code and documentation to train Stanford's Alpaca models, and generate the data.

Running large language models on a single GPU for throughput-oriented scenarios.

Zero-Cost Proxies for Lightweight NAS

GLIDE: a diffusion-based text-conditional image synthesis model

Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model