jinzhuwei

jinzhuwei's Stars

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k985751.2k

• google-deepmind/alphafold3

  AlphaFold 3 inference pipeline.

  Language:Python5.7k49201669

• deepmodeling/deepmd-kit

  A deep learning package for many-body potential energy representation and molecular dynamics

  Language:C++1.5k47844522

• chaidiscovery/chai-lab

  Chai-1, SOTA model for biomolecular structure prediction

  Language:Python1.5k1691186

• jwohlwend/boltz

  Official repository for the Boltz-1 biomolecular interaction model

  Language:Python1.5k2166164

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  81622571

• MolecularAI/REINVENT4

  AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

  Language:Python3882110796

• kuleshov-group/caduceus

  Bi-Directional Equivariant Long-Range DNA Sequence Modeling

  Language:Python16355025

• bjing2016/mdgen

  Generative modeling of molecular dynamics trajectories

  Language:Python1251214

• chenruduan/OAReactDiff

  An object-aware diffusion model for generating chemical reactions

  Language:Python1112728

• jianhao2016/AllSet

  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"

  Language:Python9221513

• bytedance/dplm

  Official Implemetation of DPLM (ICML'24) - Diffusion Language Models Are Versatile Protein Learners

  Language:C++912169

• zhengkangjie/ESM-AA

  Language:Python58346

• Ryanfzhang/GraphKan

  Implementation of GraphKan with torch geometrics and its application on signal classification

  Language:Python552315

• ZhonghuiGu/HEAL

  Language:Python441185

• GraphPKU/PygHO

  A library for subgraph GNN based on pyg

  Language:Python40300

• Vencent-Won/SGGRL

  The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".

  Language:Python36125

• HICAI-ZJU/PromptProtein

  Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning [ICLR 2023]

  Language:Python32249

• wkumler/RaMS

  R-based access to Mass-Spectrometry data

  Language:R237297

• GLAD-RUC/FastEGNN

  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"

  Language:Python22110

• Rich-XGK/GTMGC

  Implementation of GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation (ICLR2024 Spotlight).

  Language:Python16242

• HongxinXiang/VideoMol

  A Molecular Video-derived Foundation Model for Scientific Drug Discovery (Nature Communications 2024)

  Language:Python13102

• biochunan/AsEP-dataset

  NeurIPS 2024 Dataset and Benchmark Submission "AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction"

  Language:Jupyter Notebook10223

• tsa87/TacoGFN-SBDD

  [TMLR 24'] TacoGFN: Target Conditioned GFlowNet for Structure-based Drug Design (also Spotlighted in NeurIPS GenBio Workshop 2023)

  Language:Python9411

• bixiangpeng/HiSIF-DTA

  Language:Python8135

• learnables/torchml

  Scikit-learn implemented with PyTorch

  Language:Python75340

• THU-ATOM/ProMIM

  Official repository of "Multi-level Interaction Modeling for Protein Mutational Effect Prediction"

  Language:Python6200

• QUANRJ/ClusteringPRL

  This is the official implementation of "Clustering for Protein Representation Learning" (Accepted at CVPR 2024).

  50

• XJTU-Graph-Intelligence-Lab/HAGO-Net

  HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

  Language:Python5201

• frcnt/equivariant-neural-diffusion

  Implementation of "Equivariant Neural Diffusion for Molecule Generation"

  1