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Machine Learning methods for Rubin AOS system

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ml-aos

Machine Learning methods for Rubin AOS system

Installation

  1. Make sure Poetry and Conda/Mamba are installed.
  2. Create a new conda environment, activate it, and run poetry install
  3. If developing, install the pre-commit hooks: pre-commit install

Running the code

Training and exporting models is handled by the scripts in bin/.

  • test_train.py - runs quick sanity checks to make sure the model is set up correctly
  • train_wavenet.py - trains the network
  • export_model.py - exports the model in torchscript format

Notebooks

Some basic analysis is present in notebooks/. More analysis is in the aos_notebooks repo.

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Machine Learning methods for Rubin AOS system

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  • Python 51.5%
  • Jupyter Notebook 48.5%