NVTabular
LargeBatchCTR
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| NVTabular | LargeBatchCTR | |
|---|---|---|
| 1 | 1 | |
| 1,006 | 151 | |
| 1.4% | 0.0% | |
| 5.5 | 1.8 | |
| 5 days ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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
LargeBatchCTR
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A New AI Research Proposes an Effective Optimization Method of Adaptive Column-Wise Clipping (CowClip) that Reduces CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU
Quick Read: https://www.marktechpost.com/2023/02/11/a-new-ai-research-proposes-an-effective-optimization-method-of-adaptive-column-wise-clipping-cowclip-that-reduces-ctr-prediction-model-training-time-from-12-hours-to-10-minutes-on-1-gpu/ Paper: https://arxiv.org/pdf/2204.06240.pdf Github: https://github.com/bytedance/largebatchctr
What are some alternatives?
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
recommenders - Best Practices on Recommendation Systems
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.
pyaes - Pure-Python implementation of AES block-cipher and common modes of operation.
cuetils - CLI and library for diff, patch, and ETL operations on CUE, JSON, and Yaml
openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
cascade - Lightweight and modular MLOps library targeted at small teams or individuals
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.
federeco - implementation of federated neural collaborative filtering algorithm
RecBole - A unified, comprehensive and efficient recommendation library
daggy
torchrec - Pytorch domain library for recommendation systems