Federated-Recommendation-Neural-Collaborative-Filtering VS disco

Compare Federated-Recommendation-Neural-Collaborative-Filtering vs disco and see what are their differences.

Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system. (by AmanPriyanshu)

disco

Recommendations for Ruby and Rails using collaborative filtering (by ankane)
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Federated-Recommendation-Neural-Collaborative-Filtering disco
2 4
25 523
- -
3.9 5.9
about 1 year ago 2 months ago
Python Ruby
MIT License MIT License
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Federated-Recommendation-Neural-Collaborative-Filtering

Posts with mentions or reviews of Federated-Recommendation-Neural-Collaborative-Filtering. We have used some of these posts to build our list of alternatives and similar projects.

disco

Posts with mentions or reviews of disco. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

What are some alternatives?

When comparing Federated-Recommendation-Neural-Collaborative-Filtering and disco you can also consider the following projects:

torchrec - Pytorch domain library for recommendation systems

recommendify - Generate recommendations using collaborative filtering

LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

predictor - Fast and efficient recommendations and predictions using Redis

federeco - implementation of federated neural collaborative filtering algorithm

Symfony DI - Allows you to standardize and centralize the way objects are constructed in your application

recommenders - Best Practices on Recommendation Systems

discord.py - An API wrapper for Discord written in Python.

TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques

simple_recommender - A simple recommendation engine for Rails/Postgres