基于pytest的异步接口自动化框架。个人练习项目

This repository implements Spatial Graph Attention Network (sGAT), a graph deep learning model that embeds node and edge attributes as well as spatial structures for prediction tasks.

links to conference publications in graph-based deep learning

RF Regressor to determine most important features.

bipartite-graph-learning

Tool

Particle swarm optimization (PSO) that supports constraints

2020 年研究生数学建模 B 题

2020年 华为杯 全国数学建模比赛 B题 处理笔记

TL summer intern @Novartis

Xml_file parser for the drugbank data.

Python xml.sax

Don't worry about DrugBank licensing - write code that knows how to download it automatically

drugbank相关数据的处理，包括获取药物sdf结构文件，drug相关信息，drug作用相关蛋白信息，drugbank中drug id与其他数据库的映射，protein蛋白相关信息到其他数据库的映射

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Converting Harmonizome Python scripts into Appyters

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Graph Auto-Encoder in PyTorch

APRILE: A python library for exploring Adverse Polypharmacy Reaction using Intelligent Learner and Explainer

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)