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zwcdp's Projects

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

gru4rec icon gru4rec

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.

gunet icon gunet

Pytorch implementation of Graph U-Nets (ICML19)

gym-starcraft icon gym-starcraft

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

h-gcn icon h-gcn

Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)

hca icon hca

Code for my Neurocomputing-2019, A Hierarchical Contextual Attention-based Network for Sequential Recommendation

horovod icon horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

hpmn icon hpmn

Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.

hyperparameter_hunter icon hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

iccv17-fashiongan icon iccv17-fashiongan

Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence

implicit icon implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

insightocr icon insightocr

MXNet OCR implementation. Including text recognition and detection.

interpretablemlbook icon interpretablemlbook

《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

intuishop icon intuishop

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.

itchat-remote-control icon itchat-remote-control

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

kbrd icon kbrd

Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"

kdd2018_mpcn icon kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

keras-mmoe icon keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

kobe icon kobe

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

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