Federated-Recommendation-Neural-Collaborative-Filtering VS federeco

Compare Federated-Recommendation-Neural-Collaborative-Filtering vs federeco 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)

federeco

implementation of federated neural collaborative filtering algorithm (by Ach113)
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Federated-Recommendation-Neural-Collaborative-Filtering federeco
2 1
25 9
- -
3.9 7.2
about 1 year ago 10 months ago
Python Python
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.

federeco

Posts with mentions or reviews of federeco. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

torchrec - Pytorch domain library for recommendation systems

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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

disco - Recommendations for Ruby and Rails using collaborative filtering

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

recommenders - Best Practices on Recommendation Systems

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

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.

RecBole - A unified, comprehensive and efficient recommendation library