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Diffusion-based all-atom protein generative model.
Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
Official Implemetation of DPLM (ICML'24) - Diffusion Language Models Are Versatile Protein Learners
Chai-1, SOTA model for biomolecular structure prediction
Pytorch implementation for ICML 2024 paper Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency.
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
[ICML 24] Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
This repository is the official code source of PPFlow: Target-Aware Peptide Design with Torsional Flow Matching (ICML2024)
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward ba…
Full-Atom Peptide Design based on Multi-modal Flow Matching (ICML 2024)
Official repository for Target-Specific De Novo Peptide Binder Design with DiffPepBuilder
A brief introduction to the quaternions and its applications in 3D geometry.
🔠Foreign language reading and translation assistant based on copy and translate.
List of papers about Proteins Design using Deep Learning
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module
VMamba: Visual State Space Models，code is based on mamba
Vision Transformer for 3D medical image registration (Pytorch).
Fast protein backbone generation with SE(3) flow matching.