1214 Open source projects that are alternatives of or similar to Collaborative Deep Learning For Recommender Systems

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Large scale training of factorization models for Collaborative Filtering with PyTorch

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Summary of social recommendation papers and codes

An open source recommender system service written in Go

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

🌊 FluRS: A Python library for streaming recommendation algorithms

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

UC Berkeley team's submission for RecSys Challenge 2018

阅读过的推荐系统论文的归类总结，持续更新中…

A Clojure library for querying large data-sets on similarity

Papers about recommendation systems that I am interested in

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Disentagnled Graph Collaborative Filtering, SIGIR2020

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

📖Notes and remarks on Machine Learning related papers

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

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

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Neural Graph Collaborative Filtering, SIGIR2019

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

Deep Learning Computer Vision Algorithms for Real-World Use

Using Deep Autoencoders for predictions of movie ratings.

A Curated List of Must-read Papers on Recommender System.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Neural Collaborative Filtering

Building recommender systems in Julia

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

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.

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

kNN-based next-basket recommendation

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

recommender system tutorial with Python

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

A Comparative Framework for Multimodal Recommender Systems

Next RecSys Library

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Frame level anomaly detection and localization in videos using auto-encoders

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

MRI analysis using PyTorch and MedicalTorch

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Talks & Workshops by the CODAIT team

Multi-class confusion matrix library in Python