Federated-Recommendation-Neural-Collaborative-Filtering VS torchrec

Compare Federated-Recommendation-Neural-Collaborative-Filtering vs torchrec 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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
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.
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.

torchrec

Posts with mentions or reviews of torchrec. 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 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"