NVIDIA
NVIDIA
Merlin HugeCTR Jupyter Notebooks
Resource
NVIDIA
NVIDIA
Merlin HugeCTR Jupyter Notebooks

This resource is a collection of Jupyter notebook examples to provide training example for NVIDIA Merlin.

These example notebooks demonstrate how to use NVTabular with HugeCTR. Each example provides details about the end-to-end workflow, which includes Download data, ETL, and Training.

Each example notebook is structured as follows:

  1. 01-Download-Convert.ipynb: Demonstrates how to download the dataset and convert it into the correct format so that it can be consumed.
  2. 02-ETL-with-NVTabular.ipynb: Demonstrates how to execute the preprocessing and feature engineering pipeline (ETL) with NVTabular on the GPU.
  3. 03-Training-with-HugeCTR.ipynb: Demonstrates how to train a model with HugeCTR based on the ETL output.

Reading the notebook without leaving NGC

If you want to read through the notebook example without leaving our website, follow these steps:

  1. Navigate to the File Browser tab of the asset in NGC
  2. Select the version you'd like to see
  3. Next to the .ipynb file select "View Jupyter"
  4. There you have it! You can read a notebook for documentation and copy code samples without ever leaving NGC.
  5. All the instructions you need to get started are in the resource - so head over and see how to get up and running.
Publisher
NVIDIA
NVIDIA
Latest Version1
UpdatedFebruary 27, 2024 UTC
Compressed Size77.02 KB
Labels

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.