jinzhuwei

jinzhuwei's Stars

• kuleshov-group/caduceus

  Bi-Directional Equivariant Long-Range DNA Sequence Modeling

  Language:Python16525

• MolecularAI/REINVENT4

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

  Language:Python38897

• chenruduan/OAReactDiff

  An object-aware diffusion model for generating chemical reactions

  Language:Python11128

• HICAI-ZJU/PromptProtein

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

  Language:Python329

• wkumler/RaMS

  R-based access to Mass-Spectrometry data

  Language:R237

• GraphPKU/PygHO

  A library for subgraph GNN based on pyg

  Language:Python40

• Shen-Lab/DeepAffinity

  Protein-compound affinity prediction through unified RNN-CNN

  Language:Python13730

• zjunlp/MolGen

  [ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback

  Language:Python14212

• smsharma/eqnn-jax

  Annotated implementations of equivariant graph neural networks in Jax: EGNN, SEGNN, NequIP.

  Language:Python232

• torchmd/torchmd

  End-To-End Molecular Dynamics (MD) Engine using PyTorch

  Language:Python57876

• mlederbauer/awesome-learning-digital-chemistry

  a curated list of resources for everyone interested in learning about digital chemistry

  212

• yryMax/Neural-Graph-Generator

  Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models

  1

• junxia97/Mole-BERT

  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

  Language:Python10614

• jw9730/hot

  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch

  Language:Python609

• acbull/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  Language:Python803163

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook994178

• adapter-hub/adapters

  A Unified Library for Parameter-Efficient and Modular Transfer Learning

  Language:Jupyter Notebook2.6k353

• yangqy1110/Diffusion-Models

  扩散模型原理和pytorch代码实现初学资料汇总

  Language:Jupyter Notebook61346

• AlgoMole/MolFM

  Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"

  Language:Python301

• AlgoMole/GeoBFN

  Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"

  Language:Jupyter Notebook412

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k592

• AmeenAli/HiddenMambaAttn

  Official PyTorch Implementation of "The Hidden Attention of Mamba Models"

  Language:Python20712

• kyegomez/Gamba

  Implementation of PyTorch: "GAMBA: MARRY GAUSSIAN SPLATTING WITH MAMBA FOR SINGLE-VIEW 3D RECONSTRUCTION"

  Language:Python635

• Carmenw1203/DanceCamera3D-Official

  DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance. [CVPR 2024] Official PyTorch implementation

  Language:Python933

• programmablebio/ptm-mamba

  Language:Python393

• rociomer/dl-chem-101

  Example implementations of common machine learning projects in chemistry.

  Language:Jupyter Notebook16231

• BoHuangLab/Protein-Localization-Transformer

  Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction

  Language:Python283

• yangkky/Machine-learning-for-proteins

  Listing of papers about machine learning for proteins.

  1.6k207

• uw-ipd/RoseTTAFold2NA

  RoseTTAFold2 protein/nucleic acid complex prediction

  Language:Python33677

• divnori/rnaflow

  RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

  Language:Python503