197 Open source projects that are alternatives of or similar to Awesome Causality Algorithms

SASRec: Self-Attentive Sequential Recommendation

Papers about recommendation systems that I am interested in

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.

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

Материалы третьего набора офлайн-программы Data Scientist.

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

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

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

RecDB is a recommendation engine built entirely inside PostgreSQL

Recurrence the recommender paper with Tensorflow2.0

Neural Graph Collaborative Filtering, SIGIR2019

基于 Pytorch 实现推荐系统相关的算法

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

TenforFlow Implementation of Neural Factorization Machine

An implementation of locality sensitive hashing with Hadoop

Reinforced Recommendation toolkit built around pytorch 1.7

🎬instant recommending or finding or downloading movies via the command line

Deep Learning Computer Vision Algorithms for Real-World Use

An open source recommender system service written in Go

A Comparative Framework for Multimodal Recommender Systems

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

阅读过的推荐系统论文的归类总结，持续更新中…

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A simple movie recommendation engine

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

Music recommender using deep learning with Keras and TensorFlow

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

Building recommenders with Elastic Graph!

Some algorithms about traditional and social recommendation.

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.

A Configurable Recommender Systems Simulation Platform

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

Some deep learning based recsys for open learning.

图像识别与推荐系统两类

TensorFlow Implementation of Attentional Factorization Machine

fastFM: A Library for Factorization Machines

A Python implementation of LightFM, a hybrid recommendation algorithm.

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

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

A Deep Learning Recommender System

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

项亮的《推荐系统实践》的代码实现

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Papers on Computational Advertising

A Clojure library for querying large data-sets on similarity

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

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 TensorFlow recommendation algorithm and framework in Python.

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

UC Berkeley team's submission for RecSys Challenge 2018

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

Recommender System Using Parallel Matrix Factorization

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Attention,Factorization Machine, Deep Learning, Recommender System

推荐系统