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  1. MATLAB/Python scripts to create synthetic weather time series from typical (or single) year files. Original work linked to Parag Rastogi's PhD thesis at EPFL (infoscience.epfl.ch)

    Python 6 1

  2. Implementations of gaussian process regression models on building simulation datasets.

    MATLAB 1 1

  3. Python scripts and Jupyter notebooks to accompany Parag Rastogi's seminar and workshop in CEPT University, Ahmedabad, India, on 06 January 2018.

    Jupyter Notebook

  4. Instructions and code for uncertainty workshop at SimAud 2018, Delft.

    Jupyter Notebook

  5. Workshop for CEPT students

    Jupyter Notebook

171 contributions in the last year

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Contribution activity

September 2020

Opened their first pull request on GitHub in a private repository

Parag Rastogi created their first pull request!

First pull request

25 contributions in private repositories Sep 1 – Sep 24

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