duanchao's repositories
Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
Recommendation-systems-paperlist
Papers about recommendation systems that I am interested in
recommder-system
推荐系统 深度学习
RSAlgorithms
Some algorithms about traditional and social recommendation.
CATA
Collaborative Attentive-Autoencoder for scientific article recommendation
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
awesome-recommender-systems
A curated list of awesome resources about Recommender Systems.
DeepRecommender
Deep learning for recommender systems
spotlight
Deep recommender models using PyTorch.
BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras
CosRec
Code for CosRec: 2D Convolutional Neural Networks for Sequential Recommendation (CIKM-19)
RecommenderSystem-Paper
This repository includes some papers that I have read or which I think may be very interesting.
attention
some attention implements
NLP4Rec-Papers
Paper list of NLP for recommender systems
GRU4REC-pytorch
An other implementation of GRU4REC using PyTorch
books
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
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"
Probabilistic-Matrix-Factorization
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
CNN-with-Dual-Local-and-Global-Attention
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
CARL
The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988
CiteULike-PyTorch
Neural Network model for the CiteULike dataset using PyTorch
rgcnn
Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"
Summary-of-Recommender-System-Papers
阅读过的推荐系统论文的归类总结，持续更新中…