Pinned Repositories
char-cnn-text-classification-tensorflow
Character-level Convolutional Networks for Text Classification论文仿真实现
ChatBotCourse
自己动手做聊天机器人教程
deeplearningbook-chinese
Deep Learning Book Chinese Translation
DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
Self-Attentive-tensorflow
Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"
Text_Classification
Text Classification Algorithms: A Survey
word2vec-tutorial
中文詞向量訓練教學
WoNiuHu's Repositories
WoNiuHu/DL4Traffic
This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
WoNiuHu/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
WoNiuHu/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
WoNiuHu/Text_Classification
Text Classification Algorithms: A Survey
WoNiuHu/awesome-rl
Reinforcement learning resources curated
WoNiuHu/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
WoNiuHu/blob
Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.
WoNiuHu/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
WoNiuHu/dual-bandit-kdd-2020
Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
WoNiuHu/GBDT-FM-FFM-DNN-guanggaodianjilv
WoNiuHu/GCOMB
WoNiuHu/GeoSAN
Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"
WoNiuHu/GMAN
GMAN
WoNiuHu/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
WoNiuHu/GNNPapers
Must-read papers on graph neural networks (GNN)
WoNiuHu/google-research
Google Research
WoNiuHu/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
WoNiuHu/KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
WoNiuHu/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
WoNiuHu/M2GRL
A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
WoNiuHu/MELT
Official source code for MELT accepted by SIGIR 2023
WoNiuHu/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
WoNiuHu/neural-paraphrase-generation
Neural Paraphrase Generation
WoNiuHu/Off-Policy-2-Stage
Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
WoNiuHu/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
WoNiuHu/RL4Rec_papers
WoNiuHu/SR-GNN
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)
WoNiuHu/STFGNN
Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
WoNiuHu/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
WoNiuHu/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).