HarveyYan

HarveyYan's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7511.2k7.8k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.6k1273092k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.4k1161k1.2k

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.3k2228482.2k

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.1k65320616

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.7k46343509

• RosettaCommons/RFdiffusion

  Code for running RFdiffusion

  Language:Python1.6k40192317

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.4k1925197

• DeepGraphLearning/graphvite

  GraphVite: A General and High-performance Graph Embedding System

  Language:C++1.2k32113151

• agemagician/ProtTrans

  ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

  Language:Jupyter Notebook1.1k32148152

• lucidrains/performer-pytorch

  An implementation of Performer, a linear attention-based transformer, in Pytorch

  Language:Python1.1k1785143

• microsoft/gated-graph-neural-network-samples

  Sample Code for Gated Graph Neural Networks

  Language:Python1k3714264

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python9551763161

• berniwal/swin-transformer-pytorch

  Implementation of the Swin Transformer in PyTorch.

  Language:Python7791025124

• gnina/gnina

  A deep learning framework for molecular docking

  Language:C++59130205142

• wengong-jin/hgraph2graph

  Hierarchical Generation of Molecular Graphs using Structural Motifs

  Language:Python367747108

• priba/nmp_qc

  Our own implementation of Neural Message Passing for Computer Vision paper

  Language:Python33316581

• rtqichen/residual-flows

  code for "Residual Flows for Invertible Generative Modeling".

  Language:Python26012046

• jxhe/vae-lagging-encoder

  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

  Language:Python18341133

• LinearFold/LinearFold

  The new source code of the LinearFold, linear-time prediction for RNA secondary structures

  Language:C++1488949

• mxfold/mxfold2

  MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration

  Language:Python10971932

• chao1224/Geom3D

  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023

  Language:Python108239

• jaswindersingh2/SPOT-RNA

  RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

  Language:Perl9362033

• lujiarui/Str2Str

  Codebase of the paper "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling" (ICLR 2024)

  Language:Python64272

• KIT-MBS/pydca

  Direct coupling analysis software for protein and RNA sequences

  Language:Python453920

• jaswindersingh2/SPOT-RNA2

  Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning

  Language:Perl24278

• kundajelab/gkmexplain

  Accompanying repository for GkmExplain paper

  Language:Jupyter Notebook21704

• philippdre/omniCLIP

  omniCLIP is a CLIP-Seq peak caller

  Language:Python153229

• ohlerlab/PARpipe

  Complete analysis pipeline for PAR-CLIP data

  Language:Perl9366

• violetwei/Deep-Learning-MXNet

  Deep learning with MXNet

  Language:Jupyter Notebook1300