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awesome-multi-task-learning

A list of multi-task learning papers and projects.

bifusion

cbam-keras

CBAM implementation on Keras

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

datamining

ddlk

Deep direct likelihood knockoffs

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-stock

Deep Learning for Stock Market

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

dm

Data Mining Projects

dropedge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

drug-combo-generator

Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding

drug3d-net

A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry

dxy-2019-ncov-data

2019新型冠状病毒疫情时间序列数据仓库

elasticgnn

Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"

external-attention-pytorch

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

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

flowselect

Repository of code used for experiments and plots in "Normalizing Flows for Knockoff-free Controlled Feature Selection".

freqpattern

Frequent Pattern Mining

garbage

Test For Git

genefu

R package providing various functions relevant for gene expression analysis with emphasis on breast cancer.

ggm-fdr

This repository contains the software to

gm

Gaussian Mirror R Package

gnnpapers

Must-read papers on graph neural networks (GNN)

grail

Inductive relation prediction by subgraph reasoning, ICML'20

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data