Pinned Repositories
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
bayesian-optimization
Python code for bayesian optimization using Gaussian processes
ControlVAE-ICML2020
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
DARPA-Predict-Model
Prediction models for CP5
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
DynamicVAE-CVPR2022
The source code of our DynamicVAE paper published at CVPR 2022
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
ZJU_paper_coding
Papers published in TSP,TPDS and ICASSP
shj1987's Repositories
shj1987/Collaborative-Deep-Learning-for-Recommender-Systems
The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
shj1987/GloVe
GloVe model for distributed word representation
shj1987/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
shj1987/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
shj1987/graph-generation
GraphRNN: A Deep Generative Model for Graphs
shj1987/NeuralDialog-CVAE-pytorch
shj1987/tpprl
Deep Reinforcement Learning of Marked Temporal Point Processes
shj1987/NSCR
SIGIR2017: Item Silk Road: Recommending Items from Information Domains to Social Users
shj1987/CCCFNet
shj1987/SocialCube
shj1987/socialsim
shj1987/neural_collaborative_filtering
Neural Collaborative Filtering
shj1987/improving-variational-encoder-decoders-in-dialogue-generation
Tensorflow Implementation of Improving Variational Encoder-Decoders in Dialogue Generation
shj1987/LINE
LINE: Large-scale information network embedding
shj1987/time-series-machine-learning
Machine learning models for time series analysis
shj1987/tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
shj1987/dssm
DSSM and Multi-View DSSM
shj1987/sigir16-eals
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
shj1987/DeepSense
Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
shj1987/PACE2017
A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.
shj1987/Twitter-Get-Users-Last-Tweet
Using Twitter's API, python code will scan user/users twitter homeline for new tweets.
shj1987/Variational-Autoencoder-PyTorch
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
shj1987/tensorflow-MNIST-cGAN-cDCGAN
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
shj1987/UIUC_research
The codes for the research papers at UIUC
shj1987/tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
shj1987/contiguous-succotash
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
shj1987/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
shj1987/planetoid
Semi-supervised learning with graph embeddings
shj1987/ZJU_paper_coding
Papers published in TSP,TPDS and ICASSP
shj1987/Matlab_Codes
The matlab codes for paper submit to Infocom2016