All Projects → kakao → Buffalo

kakao / Buffalo

Licence: apache-2.0
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Programming Languages

python
139335 projects - #7 most used programming language
cpp
1120 projects

Projects that are alternatives of or similar to Buffalo

Lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
Stars: ✭ 3,884 (+679.92%)
Mutual labels:  recommender-system, matrix-factorization
recommender system with Python
recommender system tutorial with Python
Stars: ✭ 106 (-78.71%)
Mutual labels:  matrix-factorization, recommender-system
Spotlight
Deep recommender models using PyTorch.
Stars: ✭ 2,623 (+426.71%)
Mutual labels:  recommender-system, matrix-factorization
Cornac
A Comparative Framework for Multimodal Recommender Systems
Stars: ✭ 308 (-38.15%)
Mutual labels:  recommender-system, matrix-factorization
Awesome-Machine-Learning-Papers
📖Notes and remarks on Machine Learning related papers
Stars: ✭ 35 (-92.97%)
Mutual labels:  matrix-factorization, recommender-system
Implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+415.86%)
Mutual labels:  recommender-system, matrix-factorization
Recommendation.jl
Building recommender systems in Julia
Stars: ✭ 42 (-91.57%)
Mutual labels:  matrix-factorization, recommender-system
Carskit
Java-Based Context-aware Recommendation Library
Stars: ✭ 98 (-80.32%)
Mutual labels:  recommender-system, matrix-factorization
STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
Stars: ✭ 19 (-96.18%)
Mutual labels:  matrix-factorization, recommender-system
Course-Recommendation-System
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Stars: ✭ 14 (-97.19%)
Mutual labels:  matrix-factorization, recommender-system
Cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (-67.87%)
Mutual labels:  recommender-system, matrix-factorization
pprec
a recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-94.18%)
Mutual labels:  matrix-factorization, recommender-system
Rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (-70.88%)
Mutual labels:  recommender-system, matrix-factorization
Polara
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (-58.84%)
Mutual labels:  recommender-system, matrix-factorization
Rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (-75.7%)
Mutual labels:  recommender-system, matrix-factorization
retailbox
🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-93.57%)
Mutual labels:  matrix-factorization, recommender-system
Expo Mf
Exposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-83.73%)
Mutual labels:  recommender-system, matrix-factorization
Flurs
🌊 FluRS: A Python library for streaming recommendation algorithms
Stars: ✭ 97 (-80.52%)
Mutual labels:  recommender-system, matrix-factorization
Tf-Rec
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Stars: ✭ 18 (-96.39%)
Mutual labels:  matrix-factorization, recommender-system
rec-a-sketch
content discovery... IN 3D
Stars: ✭ 45 (-90.96%)
Mutual labels:  matrix-factorization, recommender-system

Linux/Mac Build Status

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

Requirements

  • Python 3.6+
  • cmake 2.8.8+
  • gcc/g++ (with std=c++14)

License

This software is licensed under the Apache 2 license, quoted below.

Copyright 2020 Kakao Corp. http://www.kakaocorp.com

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.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].