NVTabular
Tabular processor
A library that provides a high-level abstraction for feature engineering and preprocessing of tabular data to accelerate deep learning recommender systems on GPUs.
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.
1k stars
34 watching
143 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
deep-learningfeature-engineeringfeature-selectiongpumachine-learningnvidiapreprocessingrecommendation-systemrecommender-system
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