prismheart

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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

bootout

基于bootstrap实现可视化布局的layoutit.com离线中文版

CAPE

In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.

chrome-plugin-demo

Chrome扩展demo

g2-lstm

Codes for "Towards Binary-Valued Gates for Robust LSTM Training".

GAIMC

Geography-Aware Inductive Matrix Completion for Personalized Point of Interest Recommendation in Smart Cities

GEAPR

The code base for GEAPR: Graph Enhanced Attention network for explainable POI Recommendation

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

LearningNotes

Enjoy Learning.

LGLMF

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

MAHAN_TCSS

Memory Augmented Hierarchical AttentionNetwork for Next POI Recommendation

PACE

Experiment code for Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI recommendation

POI-recommendation

a cnn neural network for personalized POI recommendation in location-based social networks

poi2vec

POI2Vec: Geographical Latent Representation for Predicting Future Visitors

Point-of-Interest-Recommendation

Next location prediction based on Theano

prme

Implementation of the Personalized Ranking Metric Embedding for Next New POI Recommendation

RecommenderSystems

RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Security-Courseware

Courseware for computer system security course at HIT

STGCN-POI-Recommendation

Personalized spatio-temporal graph network for the next POI recommendation

STSP

Model proposed in 'A Win-Win Solution of Next POI Recommendation for Users-Businesses with Uncertain Check-ins'

tensorflow-beginner

tensorflow learning according to CS20SI

to-do-list

tree structure to do,run by chrome

Topic-Enhanced-Memory-Networks-for-Personalised-Point-of-Interest-Recommendation

KDD2019

v2ray-core

A platform for building proxies to bypass network restrictions.