librec - LibRec: A Leading Java Library for Recommender Systems, see

•    Java

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LibRec (http://www.librec.net) is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking. A movie recommender system is designed and available here.

recommender-systems recommendation-algorithms collaborative-filtering matrix-factorization tensor-factorization probabilistic-graphical-models recommender systems factorization matrix tensor collaborative filtering sparse

ranking - Learning to Rank in TensorFlow

•    Python

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We envision that this library will provide a convenient open platform for hosting and advancing state-of-the-art ranking models based on deep learning techniques, and thus facilitate both academic research and industrial applications. TF-Ranking was presented at premier conferences in Information Retrieval, SIGIR 2019 and ICTIR 2019! The slides are available here.

machine-learning information-retrieval deep-learning ranking learning-to-rank recommender-systems

goodbooks-10k - Ten thousand books, six million ratings

•    Jupyter

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Some of these files are quite large, so GitHub won't show their contents online. See samples/ for smaller CSV snippets. Open the notebook for a quick look at the data. Download individual zipped files from releases.

books ratings goodreads recommendations recommender-systems

vae_cf - Variational autoencoders for collaborative filtering

•    Jupyter

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This notebook accompanies the paper "Variational autoencoders for collaborative filtering" by Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, and Tony Jebara, in The Web Conference (aka WWW) 2018. In this notebook, we show a complete self-contained example of training a variational autoencoder (as well as a denoising autoencoder) with multinomial likelihood (described in the paper) on the public Movielens-20M dataset, including both data preprocessing and model training.

recommender-systems collaborative-filtering variational-autoencoder bayesian-inference

movielens-recommender-system-javascript - 🍃 Recommender System in JavaScript for the MovieLens Database

•    Javascript

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🍃 Recommender System in JavaScript for the MovieLens Database

recommender-system recommender-systems recommendation-system similarity-matrix movie-database movielens movie-recommendation

sbr-rs - Deep recommender systems for Rust

•    Rust

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An implementation of sequence recommenders based on the wyrm autdifferentiaton library. sbr implements efficient recommender algorithms which operate on sequences of items: given previous items a user has interacted with, the model will recommend the items the user is likely to interact with in the future.

recommender-systems deep-learning machine-learning