neural_collaborative_filtering
Neural Collaborative Filtering (by hexiangnan)
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)
| neural_collaborative_filtering | Federated-Recommendation-Neural-Collaborative-Filtering | |
|---|---|---|
| 1 | 2 | |
| 1,707 | 25 | |
| - | - | |
| 0.0 | 3.9 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
neural_collaborative_filtering
Posts with mentions or reviews of neural_collaborative_filtering.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How can I load a dataset of sparse vectors (one-hot encoding) efficiently (or lazily) while fitting to prevent overloading GPU's VRAM.
Code for https://arxiv.org/abs/1708.05031 found: https://github.com/hexiangnan/neural_collaborative_filtering
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.
-
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?
When comparing neural_collaborative_filtering and Federated-Recommendation-Neural-Collaborative-Filtering you can also consider the following projects:
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
torchrec - Pytorch domain library for recommendation systems
federeco - implementation of federated neural collaborative filtering algorithm
disco - Recommendations for Ruby and Rails using collaborative filtering
recommenders - Best Practices on Recommendation Systems
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.
neural_collaborative_filtering vs LT-OCF
Federated-Recommendation-Neural-Collaborative-Filtering vs torchrec
Federated-Recommendation-Neural-Collaborative-Filtering vs LT-OCF
Federated-Recommendation-Neural-Collaborative-Filtering vs federeco
Federated-Recommendation-Neural-Collaborative-Filtering vs disco
Federated-Recommendation-Neural-Collaborative-Filtering vs recommenders
Federated-Recommendation-Neural-Collaborative-Filtering vs TIMDB
Federated-Recommendation-Neural-Collaborative-Filtering vs LargeBatchCTR