Recommender Libraries

9 Components & Libraries

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Recommender Libraries

A Python implementation of LightFM, a hybrid recommendation algorithm.

LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's ea…

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

FAISS is a widely recognized standard for high-performance vector search engines. USearch and FAISS both employ the same HNSW algorithm, but they differ significantly in their design principles. USea…

Machine Learning Platform and Recommendation Engine built on Kubernetes

Seldon Server is a machine learning platform that helps your data science team deploy models into production. Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and a…

A TensorFlow recommendation algorithm and framework in Python.

A TensorFlow recommendation algorithm and framework in Python. TensorRec will not be receiving any more planned updates. Please feel free to open pull requests -- I am happy to review them. Thank you…

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

In this repository, a number of deep learning based recommendation models are implemented using Python and Tensorflow. We started this project in the hope that it would reduce the efforts of research…

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

The MovieGEEK is a website initially implemented to accompany my book, Practical Recommender Systems. However, this folder is used for the manning LiveProject, which is currently in MEAP. The website…