LargeBatchCTR
Large batch training of CTR models based on DeepCTR with CowClip. (by bytedance)
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)
| LargeBatchCTR | NVTabular | |
|---|---|---|
| 1 | 1 | |
| 155 | 1,008 | |
| 2.6% | 0.5% | |
| 1.8 | 5.5 | |
| over 1 year ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
LargeBatchCTR
Posts with mentions or reviews of LargeBatchCTR.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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
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 LargeBatchCTR and NVTabular you can also consider the following projects:
recommenders - Best Practices on Recommendation Systems
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
pyaes - Pure-Python implementation of AES block-cipher and common modes of operation.
Scio - A Scala API for Apache Beam and Google Cloud Dataflow.