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A list of multi-task learning papers and projects.
CBAM implementation on Keras
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Deep direct likelihood knockoffs
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 Learning for Stock Market
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
Data Mining Projects
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding
A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry
2019新型冠状病毒疫情时间序列数据仓库
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
Repository of code used for experiments and plots in "Normalizing Flows for Knockoff-free Controlled Feature Selection".
Frequent Pattern Mining
Test For Git
R package providing various functions relevant for gene expression analysis with emphasis on breast cancer.
This repository contains the software to
Gaussian Mirror R Package
Must-read papers on graph neural networks (GNN)
Inductive relation prediction by subgraph reasoning, ICML'20
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.