wuhy68

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

difflogic

A Library for Differentiable Logic Gate Networks

PixArt-alpha

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

zju-icicles

浙江大学课程攻略共享计划

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

AlphaFold3

Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch

orpo

Official repository for ORPO

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

OpenABC

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

GRIT

This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".

gritlm

Generative Representational Instruction Tuning

yosys

Yosys Open SYnthesis Suite

iwls2023-ls-contest

Problems and Results of IWLS 2023 Programming Contest

ALIGN-public

mage

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

SwinGNN

SwinGNN: diffusion model for graph generation

GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

unsloth

Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Parameter-Efficient-MoE

Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

p-Adapter

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

ChatEDAv1

ChatEDA: A Large Language Model Powered Autonomous Agent for EDA

Parameter-Efficient-MoE

Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT