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)
torchrec
Pytorch domain library for recommendation systems (by pytorch)
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Federated-Recommendation-Neural-Collaborative-Filtering | torchrec | |
---|---|---|
2 | 1 | |
25 | 1,728 | |
- | 3.9% | |
3.9 | 9.8 | |
about 1 year ago | 1 day ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
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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
torchrec
Posts with mentions or reviews of torchrec.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Pytorch Introduces ‘TorchRec’: A Python-based PyTorch Domain Library For Recommendation Systems (RecSys)
TorchRec is a new PyTorch domain library for Recommendation Systems. This library includes standard sparsity and parallelism primitives, allowing researchers to create and implement cutting-edge customization models. CONTINUE READING
What are some alternatives?
When comparing Federated-Recommendation-Neural-Collaborative-Filtering and torchrec you can also consider the following projects:
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
federeco - implementation of federated neural collaborative filtering algorithm
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
disco - Recommendations for Ruby and Rails using collaborative filtering
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.
recommenders - Best Practices on Recommendation Systems
LLMRec - [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Federated-Recommendation-Neural-Collaborative-Filtering vs LT-OCF
torchrec vs federeco
Federated-Recommendation-Neural-Collaborative-Filtering vs federeco
torchrec vs warp-drive
Federated-Recommendation-Neural-Collaborative-Filtering vs disco
torchrec vs NVTabular
Federated-Recommendation-Neural-Collaborative-Filtering vs recommenders
torchrec vs LLMRec