YS-arch

KG-MTL

Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"

peptide_half_life_prediction

code for prediction of peptide half-life

autoLiterature

autoLiterature是一个基于Python的自动文献管理命令行工具

brivl-nmi

towards artificial general intelligence via a multimodal foundation model

CCST

Cell clustering for spatial transcriptomics data with graph neural network

chemprop

Message Passing Neural Networks for Molecule Property Prediction

class-notes

全部算法课讲解知识点提纲、题目汇总、PPT合集、学前必读、学习规划

ColabFold

Making Protein folding accessible to all!

DeCorr

[KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"

download

极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

frank

一款全新的英雄联盟(LOL)助手软件.............. A bran-new League of Legends assistant software, a replacement for WeGame.

GLAM

Code for "An adaptive graph learning method for automated molecular interactions and properties predictions".

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

GraphMAE

GraphMAE: Self-supervised Masked Graph Autoencoders

GraphMVP

HM-GNN

Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"

InfinityGauntlet

响指开关灯

MINN-DTI

Effective drug-target interaction prediction with mutual interaction neural network

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

paper-reading

深度学习经典、新论文逐段精读

protein_bert

ProteinMPNN

Code for the ProteinMPNN paper

PyBioMed

machine learning, molecular descriptor

Reinvent

de novo molecular design with curriculum learning

RetroTRAE

Retrosynthetic prediction with Atom Environments

ScanNet

interpretable model for structure-based protein binding site prediction

TransEPI

Codes and datasets of TransEPI

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

VideoTogether

Watch video together on any platform / 一起看视频，兼容所有平台

zihao_course

同济子豪兄的公开课