crystal22 Goto Github PK

recvae

The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"

recwalk

RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. In The Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19),

reformer-pytorch

Implements Reformer: The Efficient Transformer in pytorch.

reformer-pytorch-1

Reformer, the efficient Transformer, in Pytorch

reformers

Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing

relational-rnn-pytorch

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

reline

repeatnet

report

representation-learning-on-heterogeneous-graph

Representation-Learning-on-Heterogeneous-Graph

rerank

research

novel deep learning research works with PaddlePaddle

research_spatio-temporal-data-mining

A collection of research on spatio-temporal data mining

reta_code

retagnn

ripplenet

A tensorflow implementation of RippleNet

rl4rec_papers

rme

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

rnn_recommendations

Session-based Recommendations with Recurrent Neural Networks

rs-with-kg

知识图谱结合推荐系统近年工作

rspapers

Must-read papers on Recommender System.

rspapers-1

papers about recommender system.

rspapers-2

RSpapers

rtn

The code for the paper "Recurrent Translation-based Network for Top-N Sparse Sequential Recommendation."

rulerec

s-a

s3hmm

State-Sharing Sparse Hidden Markov Models for Personalized Sequences

sae-nad

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