Keyword Analysis & Research: nvtabular


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nvtabular0.850.78564789

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nvtabular0.540.112153

Search Results related to nvtabular on Search Engine

  • GitHub - NVIDIA-Merlin/NVTabular: NVTabular is a feature …

    github.com

    https://github.com/NVIDIA-Merlin/NVTabular

    WEBNVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 57 PA: 49 MOZ Rank: 81

  • NVTabular — NVTabular 2021 documentation - GitHub Pages

    github.io

    https://nvidia-merlin.github.io/NVTabular/stable/Introduction.html

    WEBNVTabular. NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 30 PA: 47 MOZ Rank: 44

  • NVTabular | API documentation — NVTabular 2021 documentation

    github.io

    https://nvidia-merlin.github.io/NVTabular/v0.4.0/Introduction.html

    WEBNVTabular is a feature engineering and preprocessing library for tabular data that is designed to quickly and easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides a high level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 42 PA: 22 MOZ Rank: 28

  • NVIDIA Merlin NVTabular | NVIDIA Developer

    nvidia.com

    https://developer.nvidia.com/nvidia-merlin/nvtabular

    WEBNVIDIA Merlin™ accelerates the entire pipeline, from ingesting and training to deploying GPU-accelerated recommender systems. Merlin NVTabular is a feature engineering and preprocessing library designed to effectively manipulate terabytes of recommender system datasets and significantly reduce data preparation time.

    DA: 39 PA: 31 MOZ Rank: 12

  • nvtabular · PyPI

    pypi.org

    https://pypi.org/project/nvtabular/

    WEBAug 29, 2023 · NVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 12 PA: 50 MOZ Rank: 79


  • NVTabular/README.md at main · NVIDIA-Merlin/NVTabular · …

    github.com

    https://github.com/NVIDIA-Merlin/NVTabular/blob/main/README.md

    WEBNVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 74 PA: 96 MOZ Rank: 95

  • NVTabular - GitHub

    github.com

    https://github.com/NVIDIA-Merlin/NVTabular/blob/stable/README.md

    WEBNVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library. \n.

    DA: 54 PA: 17 MOZ Rank: 53

  • Announcing the NVIDIA NVTabular Open Beta with Multi-GPU …

    nvidia.com

    https://developer.nvidia.com/blog/announcing-the-nvtabular-open-beta-with-multi-gpu-support-and-new-data-loaders/

    WEBOct 5, 2020 · NVTabular is the ETL component of Merlin, introduced to address the common pain points of the data pipeline for recommender systems. When training industrial recommender systems, it is common to see training datasets of multi-terabyte, or even petabyte scale, comprising billions of user-item interactions.

    DA: 50 PA: 7 MOZ Rank: 78

  • NVTabular | Documentation — NVTabular 2021 documentation

    github.io

    https://nvidia-merlin.github.io/NVTabular/v0.7.1/Introduction.html

    WEBNVTabular is a feature engineering and preprocessing library for tabular data that is designed to easily manipulate terabyte scale datasets and train deep learning (DL) based recommender systems. It provides high-level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS Dask-cuDF library.

    DA: 14 PA: 32 MOZ Rank: 90

  • NVTabular — NVTabular 2020 documentation

    github.io

    https://nvidia-merlin.github.io/NVTabular/v0.1.1/Introduction.html

    WEBNVTabular 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. It provides a high level abstraction to simplify code and accelerates computation on the GPU using the RAPIDS cuDF library.

    DA: 95 PA: 95 MOZ Rank: 2