chamlhy

chamlhy's Stars

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k493

• nosuggest/Reflection_Summary

  算法理论基础知识应知应会

  2.6k509

• shuhuai007/Machine-Learning-Session

  5.1k1.1k

• rdevooght/sequence-based-recommendations

  Language:Python370126

• yongqyu/STRNN

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

  Language:Python14063

• tangrizzly/Point-of-Interest-Recommendation

  Next location prediction based on Theano

  Language:Python9334

• allenjack/SAE-NAD

  The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

  Language:Python5824

• flaviovdf/prme

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

  Language:Python5735

• uestcnlp/STAMP

  Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

  Language:Python13843

• xiexiexx/Planet

  Algorithms and Data Structures

  Language:C++34665

• ljpzzz/machinelearning

  My blogs and code for machine learning. http://cnblogs.com/pinard

  Language:Jupyter Notebook8.4k3.7k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.4k8.1k

• chihming/competitive-recsys

  A collection of resources for Recommender Systems (RecSys)

  531115

• maciejkula/spotlight

  Deep recommender models using PyTorch.

  Language:Python3k428

• Epist/siamese_next_item_pytorch

  Siamese neural networks for next item recommendation. Written in PyTorch.

  Language:Python3

• IntSoft2017H/TransRecJSON

  A converter for JSON files and TransRec

  Language:Go2

• mquad/sars_tutorial

  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

  Language:Python34298

• scofield7419/basic_NNs_in_frameworks

  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

  Language:Python6422

• lijingsdu/sessionRec_NARM

  Language:Python13153

• graytowne/caser

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

  Language:Matlab7623

• rpasricha/TransFM

  Language:Python8325

• mquad/hgru4rec

  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

  Language:Python21571

• yhs968/pyGRU4REC

  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

  Language:Jupyter Notebook14727

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k14.9k

• chen0040/mxnet-recommender

  Collaborative Filtering NN and CNN based recommender implemented with MXNet

  Language:Python121

• BrambleXu/pydata-notebook

  利用Python进行数据分析 第二版 (2017) 中文翻译笔记

  Language:Jupyter Notebook4.6k1.6k

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook484156

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• jinze1994/ATRank

  An Attention-Based User Behavior Modeling Framework for Recommendation

  Language:Python364125

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python764224