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Build Graph Nets in Tensorflow
Large Scale Graphical Model
The learning of the GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Graph Neural Networks for Social Recommendation, WWW'19
Representation learning on large graphs using stochastic graph convolutions.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
Pytorch implementation of Graph U-Nets (ICML19)
StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
Code for my Neurocomputing-2019, A Hierarchical Contextual Attention-based Network for Sequential Recommendation
Distributed training framework for TensorFlow, Keras, and PyTorch.
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Face Analysis Project on MXNet
MXNet OCR implementation. Including text recognition and detection.
Tensorflow implementation for Interaction-aware factorization machines
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.
这是一个实现微信利用大号控制小号,使用生活号代理工作号收发消息的的Python程序
The First Place Solution of iMaterialist (Fashion) 2019 at FGVC6
Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Knowledge-aware recommendation papers.
Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"
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.