402 Open source projects that are alternatives of or similar to Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques

📖Notes and remarks on Machine Learning related papers

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.

UC Berkeley team's submission for RecSys Challenge 2018

A Clojure library for querying large data-sets on similarity

An open source recommender system service written in Go

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

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

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

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.

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.

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Recommender Systems Paperlist that I am interested in

Neural Collaborative Filtering

kNN-based next-basket recommendation

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

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

Neural Graph Collaborative Filtering, SIGIR2019

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

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

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Summary of social recommendation papers and codes

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

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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

recommender system tutorial with Python

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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

Papers about recommendation systems that I am interested in

A Comparative Framework for Multimodal Recommender Systems

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.

阅读过的推荐系统论文的归类总结，持续更新中…

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Building recommender systems in Julia

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

Source code for Delving Deeper into the Decoder for Video Captioning

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

JavaScript embedder for Wolfram Cloud notebooks

Neural Code Comprehension: A Learnable Representation of Code Semantics

Sequential recommendation algorithm

A python library for music recommendation

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

GRu4Rec in TensorFlow

Implementation of IR2Vec, published in ACM TACO

A simple Music Recommendation System

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.