How to: Industry Strength Recommender System
* [EasyRec](https://github.com/alibaba/EasyRec) ![](https://img.shields.io/github/stars/alibaba/EasyRec.svg?cacheSeconds=86400) - EasyRec is a framework for large scale recommendation algorithms.
* [Gorse](https://github.com/gorse-io/gorse) ![](https://img.shields.io/github/stars/gorse-io/gorse.svg?cacheSeconds=86400) - Gorse aims to be a universal open-source recommender system that can be quickly introduced into a wide variety of online services.
* [Merlin](https://github.com/NVIDIA-Merlin/Merlin) ![](https://img.shields.io/github/stars/NVIDIA-Merlin/Merlin.svg?cacheSeconds=86400) - NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
* [Recommenders](https://github.com/recommenders-team/recommenders) ![](https://img.shields.io/github/stars/recommenders-team/recommenders.svg?cacheSeconds=86400) - Recommenders contains benchmark and best practices for building recommendation systems, provided as Jupyter notebooks.
* [TorchRec](https://github.com/meta-pytorch/torchrec) ![](https://img.shields.io/github/stars/meta-pytorch/torchrec.svg?cacheSeconds=86400) - TorchRec is a PyTorch domain library built to provide common sparsity and parallelism primitives needed for large-scale recommender systems (RecSys).