Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/kakao/buffalo

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
https://github.com/kakao/buffalo

cpp machine-learning matrix-factorization python recommender-system

Last synced: about 2 months ago
JSON representation

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

Awesome Lists containing this project

README

        

[![Linux/Mac Build Status](https://travis-ci.org/kakao/buffalo.svg?branch=master)](https://travis-ci.org/kakao/buffalo)

# Buffalo
Buffalo is a fast and scalable production-ready open source project for recommender systems. Buffalo effectively utilizes system resources, enabling high performance even on low-spec machines. The implementation is optimized for CPU and SSD. Even so, it shows good performance with GPU accelerator, too. Buffalo, developed by Kakao, has been reliably used in production for various Kakao services.

For more information see the [documentation](https://buffalo-recsys.readthedocs.io)

## Requirements
- Python 3.8+
- cmake 3.17+
- gcc/g++ (with std=c++14)

## License

This software is licensed under the [Apache 2 license](LICENSE), quoted below.

Copyright 2020 Kakao Corp.

Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this project except in compliance with the License. You may obtain a copy
of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.