Recommender System Pytorch

Name: QikaiXu/Recommender-System-Pytorch
Brand: QikaiXu/Recommender-System-Pytorch
SKU: project/QikaiXu/Recommender-System-Pytorch
Rating: 4.43 (20 reviews)

Pytorch

** notebook **
Embedding pytorch-fm

Datasets

MovieLensml-latest-small ratings.csv 1m
Criteo 100k
Amazon Books DIEN-pipeline 100k

Data Processing

Recommender-System-with-TF2.0

One-hot
One-hot

Available Models

Model	Paper
Logistic Regression, LR
Mixed Logistic Regression, MLR	Kun Gai, et al. Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction, 2017.
GBDT + LR
Factorization Machine, FM	S Rendle, Factorization Machines, 2010.
Field-aware Factorization Machine, FFM	Y Juan, et al. Field-aware Factorization Machines for CTR Prediction, 2015.
Deep Crossing	Ying Shan, et al.Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features, 2016.
Product-based Neural Network, PNN	Y Qu, et al. Product-based Neural Networks for User Response Prediction, 2016.
Wide & Deep	HT Cheng, et al. Wide & Deep Learning for Recommender Systems, 2016.
Deep & Cross Network, DCN	R Wang, et al. Deep & Cross Network for Ad Click Predictions, 2017.
Factorization Machine supported Neural Network, FNN	W Zhang, et al. Deep Learning over Multi-field Categorical Data - A Case Study on User Response Prediction, 2016.
DeepFM	H Guo, et al. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017.
Neural Factorization Machine, NFM	X He and TS Chua, Neural Factorization Machines for Sparse Predictive Analytics, 2017.
Attentional Factorization Machine, AFM	J Xiao, et al. Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks, 2017.
Deep Interest Network, DIN	Guorui Zhou, et al. Deep Interest Network for Click-Through Rate Prediction, 2017.
Deep Interest Evolution Network, DIEN	Guorui Zhou, et al. Deep Interest Evolution Network for Click-Through Rate Prediction, 2018.
Latent Factor Model, LFM
Neural Collaborative Filtering, NeuralCF	X He, et al. Neural Collaborative Filtering, 2017.

Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
D2l En	18,001			4 days ago			99	other	Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Deeplearningexamples	11,003			a day ago			238		Jupyter Notebook
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Catalyst	3,106	19	10	2 months ago	108	April 29, 2022	5	apache-2.0	Python
Accelerated deep learning R&D
Spotlight	2,809			5 months ago			72	mit	Python
Deep recommender models using PyTorch.
Recbole	2,637			16 days ago	7	February 25, 2022	106	mit	Python
A unified, comprehensive and efficient recommendation library
Torchrec	1,446			9 hours ago	77	May 12, 2022	117	bsd-3-clause	Python
Pytorch domain library for recommendation systems
Transformers4rec	852			a day ago	9	June 16, 2022	89	apache-2.0	Python
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Fuxictr	540			3 days ago	8	July 03, 2022	4	apache-2.0	Python
A curated model zoo for CTR prediction https://fuxictr.github.io/tutorials
Daisyrec	496			2 months ago	15	August 14, 2022		mit	Python
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
Crslab	397			19 days ago	2	March 28, 2021	6	mit	Python
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).