213 Open source projects that are alternatives of or similar to Openlearning4deeprecsys

fastFM: A Library for Factorization Machines

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

🌊 FluRS: A Python library for streaming recommendation algorithms

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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

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KDD17_FMG

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Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

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

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

GRu4Rec in TensorFlow

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

项亮的《推荐系统实践》的代码实现

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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.

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

阅读过的推荐系统论文的归类总结，持续更新中…

Deep Learning Computer Vision Algorithms for Real-World Use

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

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

Hybrid Recommender System

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Efficient training of deep recommenders on cloud.

A Python implementation of LightFM, a hybrid recommendation algorithm.

This is a repository of public data sources for Recommender Systems (RS).

Материалы третьего набора офлайн-программы Data Scientist.

Multi-order Attentive Ranking Model for Sequential Recommendation

Papers about recommendation systems that I am interested in

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

A simple movie recommendation engine

code for Gogleva et al manuscript

content discovery... IN 3D

基于 Pytorch 实现推荐系统相关的算法

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A Comparative Framework for Multimodal Recommender Systems

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MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

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A framework for large scale recommendation algorithms.

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

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