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gegetang's Projects

aaai19hers icon aaai19hers

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation

amr icon amr

This is our official implementation for the paper: Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

anago icon anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

app-dl icon app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

atrank icon atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

augmentor icon augmentor

Image augmentation library in Python for machine learning.

auto_cliwc icon auto_cliwc

Code for Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention (AAAI18)

awesome-cv icon awesome-cv

Awesome CV is LaTeX template for your outstanding job application

bottom-up-attention icon bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bpr icon bpr

Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "

cara icon cara

An implementation of Contextual Attention Recurrent Architecture (SIGIR 2018)

cartoongan-predict icon cartoongan-predict

This is unofficial torch implementation for prediction of the paper, "CartoonGAN: Generative Adversarial Networks for Photo Cartoonization"

caser_pytorch icon caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

cf-nade icon cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

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