NVTabular
federeco
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| NVTabular | federeco | |
|---|---|---|
| 1 | 1 | |
| 1,006 | 9 | |
| 1.2% | - | |
| 5.5 | 7.2 | |
| 4 days ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
NVTabular
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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
federeco
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Federated neural collaborative filtering recommendation system
Implementation of federated recommendation system based on a neural collaborative filtering model - federeco.
What are some alternatives?
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
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.
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
cuetils - CLI and library for diff, patch, and ETL operations on CUE, JSON, and Yaml
torchrec - Pytorch domain library for recommendation systems
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
recommenders - Best Practices on Recommendation Systems
daggy
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
powershap - A power-full Shapley feature selection method.
RecBole - A unified, comprehensive and efficient recommendation library