JoreyYan

zetadesign

ProteinMPNN

Code for the ProteinMPNN paper

ddpm-proteins

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

DLPacker

DLPacker

esm

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

GeoPPI

ghost

ghost2

Graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

gvp-pytorch

Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure

HowToCook

程序员在家做饭方法指南。

learned-triangulation

Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020

master

meaningful-protein-representations

MeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

min-dalle

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

PAConv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Point-BERT

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

point2mesh

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

pointMLP-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

ProFOLD

A protein 3D structure prediction application

protein_seq_des

Code for our paper "Protein sequence design with a learned potential"

Pymol-script-repo

Collected scripts for Pymol

rasp

RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

se3_diffusion

Implementation for SE(3) diffusion model with application to protein backbone generation

sidechainnet

An all-atom protein structure dataset for machine learning.

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch