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pypi.org : 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.
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purl: pkg:pypi/nvtabular
Keywords: deep-learning, feature-engineering, feature-selection, gpu, machine-learning, nvidia, preprocessing, recommendation-system, recommender-system
License: Apache-2.0
Latest release: 9 months ago
First release: about 4 years ago
Dependent repositories: 24
Downloads: 3,898 last month
Stars: 1,008 on GitHub
Forks: 143 on GitHub
Total Commits: 1040
Committers: 51
Average commits per author: 20.392
Development Distribution Score (DDS): 0.713
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Last synced: 8 days ago