liun-online

liun-online's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.4k55970910.1k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

  Language:Python27.9k2477k3.3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k2523.5k3.6k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.4k963411.5k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.9k33290987

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python3.6k2120357

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.3k1586498

• lucidrains/video-diffusion-pytorch

  Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

  Language:Python1.2k2835122

• ermongroup/ncsn

  Noise Conditional Score Networks (NeurIPS 2019, Oral)

  Language:Python65591194

• rampasek/GraphGPS

  Recipe for a General, Powerful, Scalable Graph Transformer

  Language:Python6431234114

• epfl-lts2/pygsp

  Graph Signal Processing in Python

  Language:Python481346492

• cvignac/DiGress

  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

  Language:Python33859874

• materialsvirtuallab/matgl

  Graph deep learning library for materials

  Language:Python252128859

• txie-93/cdvae

  An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

  Language:Python22135590

• hamed1375/Exphormer

  Exphormer: Sparse Transformer for Graphs

  Language:Python1551020

• vijaydwivedi75/lrgb

  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

  Language:Jupyter Notebook14931318

• XiaoxinHe/Graph-ViT-MLPMixer

  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

  Language:Python1463723

• IntelLabs/matsciml

  Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

  Language:Python14155719

• harryjo97/GDSS

  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

  Language:Python13922322

• LiamMa/GRIT

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

  Language:Python953111

• luis-mueller/probing-graph-transformers

  Code for our paper "Attending to Graph Transformers"

  Language:Python75009

• DSL-Lab/Specformer

  Transformer-based Spectral Graph Neural Networks

  Language:Python665512

• jiaor17/DiffCSP

  [NeurIPS 2023] The implementation for the paper "Crystal Structure Prediction by Joint Equivariant Diffusion"

  Language:Python6431919

• kdmsit/Awesome-Crystal-GNNs

  This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials

  567

• Zhaozixiang1228/MMIF-EMMA

  [CVPR 2024] Official implementation for "Equivariant Multi-Modality Image Fusion."

  Language:Python52282

• qym7/SparseDiff

  Official implementation for 'Sparse denoising diffusion for large graph generation'

  Language:Python43434

• yuanqidu/M2Hub

  Language:Python39243

• BenGutteridge/DRew

  Language:Python29213

• liun-online/WaveGC

  Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'

  Language:Python13101

• liun-online/LSIR

  lsir

  Language:Python3121