ChenShengsGitHub

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

AIxFuse

AIxFuse_source

Alchemy

DMS_opt

EModelX_old

gvp-pytorch

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

hsm

Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."

pytorch_geometric

Graph Neural Network Library for PyTorch

ChenShengsGitHub/EModelX_old

ChenShengsGitHub/gvp-pytorch

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

ChenShengsGitHub/pytorch_geometric

Graph Neural Network Library for PyTorch

ChenShengsGitHub/3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

ChenShengsGitHub/AIxFuse

ChenShengsGitHub/AIxFuse_source

ChenShengsGitHub/alphafold

Open source code for AlphaFold.

ChenShengsGitHub/CAMP

predicting peptide-protein interactions

ChenShengsGitHub/cdhit

Automatically exported from code.google.com/p/cdhit

ChenShengsGitHub/ChenShengsGitHub.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ChenShengsGitHub/controlled-peptide-generation

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

ChenShengsGitHub/DeepFRI

Deep functional residue identification

ChenShengsGitHub/easy_af2

Easy to AF2

ChenShengsGitHub/EModelX

ChenShengsGitHub/EModelX_new

ChenShengsGitHub/fold2seq

Code for Fold2Seq paper from ICML 2021

ChenShengsGitHub/gvp

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

ChenShengsGitHub/ic_gan

Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.

ChenShengsGitHub/iLearnPlus

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.

ChenShengsGitHub/MCTS

A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain

ChenShengsGitHub/Pocket2Mol

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

ChenShengsGitHub/Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

ChenShengsGitHub/pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

ChenShengsGitHub/pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

ChenShengsGitHub/RASP

An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

ChenShengsGitHub/RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

ChenShengsGitHub/SPROF

To Improve Protein Sequence Profile Prediction through Image Captioning on Pairwise Residue Distance Map

ChenShengsGitHub/structure-based-peptide-generator

ChenShengsGitHub/superpose3d

register 3-D point clouds using rotation, translation, and scale transformations.

ChenShengsGitHub/TEASER-plusplus

A fast and robust point cloud registration library