WoNiuHu

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

Text_Classification

Text Classification Algorithms: A Survey

awesome-rl

Reinforcement learning resources curated

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blob

Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.

GBDT-FM-FFM-DNN-guanggaodianjilv

GCOMB

GeoSAN

Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"

GMAN

GMAN

GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

GNNPapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

KGCN

A tensorflow implementation of Knowledge Graph Convolutional Networks

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

M2GRL

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

MELT

Official source code for MELT accepted by SIGIR 2023

Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

neural-paraphrase-generation

Neural Paraphrase Generation

Off-Policy-2-Stage

Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

RL4Rec_papers

SR-GNN

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

STFGNN

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

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).