rapids-tutorial-gtc-2023 | repository contains the code for the NVIDIA GTC

 by   shwina Jupyter Notebook Version: Current License: No License

kandi X-RAY | rapids-tutorial-gtc-2023 Summary

kandi X-RAY | rapids-tutorial-gtc-2023 Summary

rapids-tutorial-gtc-2023 is a Jupyter Notebook library. rapids-tutorial-gtc-2023 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository contains the code for the NVIDIA GTC 2023 Introduction to RAPIDS talk. NYCTaxi.ipynb contains the code from the talk, and shows how to use the cuDF and cuML libraries in a GPU-accelerated data science pipeline. NYCTaxi-Blank.ipynb is the same, but contains a few #TODO sections as exercises.
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              rapids-tutorial-gtc-2023 has a low active ecosystem.
              It has 35 star(s) with 18 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rapids-tutorial-gtc-2023 is current.

            kandi-Quality Quality

              rapids-tutorial-gtc-2023 has no bugs reported.

            kandi-Security Security

              rapids-tutorial-gtc-2023 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              rapids-tutorial-gtc-2023 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              rapids-tutorial-gtc-2023 releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            rapids-tutorial-gtc-2023 Key Features

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            rapids-tutorial-gtc-2023 Examples and Code Snippets

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            Install rapids-tutorial-gtc-2023

            To run the notebooks in this repository, you'll need to install cuDF and cuML along with a few other dependencies.

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            gh repo clone shwina/rapids-tutorial-gtc-2023

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            git@github.com:shwina/rapids-tutorial-gtc-2023.git

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