federeco
implementation of federated neural collaborative filtering algorithm (by Ach113)
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. (by NVIDIA-Merlin)
federeco | NVTabular | |
---|---|---|
1 | 1 | |
9 | 1,006 | |
- | 0.3% | |
7.2 | 5.5 | |
10 months ago | 11 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
federeco
Posts with mentions or reviews of federeco.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Federated neural collaborative filtering recommendation system
Implementation of federated recommendation system based on a neural collaborative filtering model - federeco.
NVTabular
Posts with mentions or reviews of NVTabular.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-08.
-
ETL Pipelines with Airflow: The Good, the Bad and the Ugly
If you have GPUs, NVTabular outperforms most of the frameworks out there: https://github.com/NVIDIA/NVTabular
What are some alternatives?
When comparing federeco and NVTabular you can also consider the following projects:
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.
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
torchrec - Pytorch domain library for recommendation systems
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.