breezeyuner

DiffCDR

An-Attention-based-Spatiotemporal-LSTM-Network-for-Next-POI-Recommendation

A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation

baseline-14-v3-sub-p9-fix

comp_lgb_model

DeepMove

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

hm_lgb_rank_baseline_13_pairewise_recall120_model

iMTL

Klagenfurt_PhD_programming

programming test for Klagenfurt PhD related

learningSpark

学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star

LSTPM

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

multimodal_bev

repo2docker

Turn git repositories into Jupyter enabled Docker Images

serializable

STRNN

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

TMCA

Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention

Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.