1118 Open source projects that are alternatives of or similar to Rectorch

Large scale training of factorization models for Collaborative Filtering with PyTorch

recommender system tutorial with Python

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

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

A Comparative Framework for Multimodal Recommender Systems

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Focal Frequency Loss for Generative Models

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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.

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Next RecSys Library

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

Building recommender systems in Julia

📖Notes and remarks on Machine Learning related papers

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

a recommender engine node-js package for general use and easy to integrate.

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

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

UC Berkeley team's submission for RecSys Challenge 2018

[CVPR2020] Adversarial Latent Autoencoders

LibRec: A Leading Java Library for Recommender Systems, see

A Python implementation of LightFM, a hybrid recommendation algorithm.

Variational autoencoders for collaborative filtering

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

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

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

Lagrangian VAE

pytorch version of neural collaborative filtering

TextBox is an open-source library for building text generation system.

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

Neural Graph Collaborative Filtering, SIGIR2019

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

Papers about recommendation systems that I am interested in

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

阅读过的推荐系统论文的归类总结，持续更新中…

Tensorflow implementation of variational auto-encoder for MNIST

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.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Recurrence the recommender paper with Tensorflow2.0

Experiments with Adversarial Autoencoders using Keras

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

fastFM: A Library for Factorization Machines

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

🍊 👎 Add-on for Orange3 to support recommender systems.

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Using Deep Autoencoders for predictions of movie ratings.

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

A Clojure library for querying large data-sets on similarity

Recommender System Using Parallel Matrix Factorization

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Java-Based Context-aware Recommendation Library

Neural Collaborative Filtering

An open source recommender system service written in Go

Exposure Matrix Factorization: modeling user exposure in recommendation