federeco
Federated-Recommendation-Neural-Collaborative-Filtering
federeco | Federated-Recommendation-Neural-Collaborative-Filtering | |
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1 | 2 | |
9 | 25 | |
- | - | |
7.2 | 3.9 | |
10 months ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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federeco
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Federated neural collaborative filtering recommendation system
Implementation of federated recommendation system based on a neural collaborative filtering model - federeco.
Federated-Recommendation-Neural-Collaborative-Filtering
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Federated-Recommendation-Neural-Collaborative-Filtering
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering (github.com)
- Made a Federated Learning (Distributed) Setting for Recommendation Systems
What are some alternatives?
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.
torchrec - Pytorch domain library for recommendation systems
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
disco - Recommendations for Ruby and Rails using collaborative filtering
recommenders - Best Practices on Recommendation Systems
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
RecBole - A unified, comprehensive and efficient recommendation library
LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.