tanxiaoqin888 Goto Github PK

ai_google-research

arpeggio

Calculation of interatomic interactions in molecular structures

atom3

Atomic Data Processing

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentivefp

augur

Pipeline components for real-time phylodynamic analysis

bidd-molmap

MolMapNet: An Efficient Convolutional Neural Network Based on Constructed Feature Maps for Molecular Deep Learning

chembl-downloader

Write reproducible code for getting and processing ChEMBL

chemo_info

chinese_medical_nlp

中文医疗NLP领域 数据集，论文 ，知识图谱，语料，工具包

cmpnn

colabfold

Making Protein folding accessible to all!

compt

Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"

cpi_prediction

This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

deepdta

deeplearning-biology

A list of deep learning implementations in biology

deeplearningtutorials

Deep Learning与PyTorch入门实战视频教程

deeplytough

DeeplyTough: Learning Structural Comparison of Protein Binding Sites

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

difflinker

DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design

dl4moleculargraph

Literature of deep learning for graphs in Chemistry and Biology

docker-chempack

A Docker image with Java, Python, R and RDKIT

drugex

An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning

drugvqa

Predicting Drug Protein Interaction using Quasi-Visual Question Answering System

ecnet

An evolutionary context-integrated deep learning framework for protein engineering

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

A library for efficient similarity search and clustering of dense vectors.

fasttext

Library for fast text representation and classification.

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

geomol