mathsn / GP_tutorial

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Gaussian Process tutorial

This code serves as an introduction to Gaussian Processes. It demonstrates how to apply Gaussian processes to regression and time-series data using the python library GPflow.

Purpose of the project

This software is a tutorial, solely developed for educational purpose. It will neither be maintained nor monitored in any way.

License

Benchmarks is open-sourced under the MIT license. See the LICENSE file for details.

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License:MIT License


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Language:Jupyter Notebook 92.4%Language:Python 7.6%