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IndiraOcampo/README.md

Hi there, I'm Indira 🌌

  • La Caixa fellow and PhD candidate at Instituto de Física Teórica.
  • Member of the Euclid collaboration.

Some of my science projects featuring:

  • SkyExplain To simulate data , train ML models, and extract interpretable insights from trained architectures.

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  1. SkyExplain/SkyNeuralNets SkyExplain/SkyNeuralNets Public

    Machine learning analysis for cosmological model selection with neural networks

    Python 1 1

  2. SkyExplain/Sandbox SkyExplain/Sandbox Public

    Repository for notebooks, scripts and tutorial for the SkyExplain project

    Jupyter Notebook 1

  3. SkyExplain/SkySimulation SkyExplain/SkySimulation Public

    Cosmological data generation for machine-learning model-selection

    Python 1 2

  4. CMB_ML_based_model_selection CMB_ML_based_model_selection Public

    Neural networks for model selection and feature importance at the level of the CMB angular power spectra for JCAP02(2025)004 (arXiv:2410.05209)

    Jupyter Notebook 3

  5. SkyExplain/SkyInterpret SkyExplain/SkyInterpret Public

    Interpretability tools for machine-learning powered cosmological model selection and classification

    Python 1 1

  6. Growth_LSS_model_selection_Lime Growth_LSS_model_selection_Lime Public

    This repository hosts the ML analysis files for arxiv:2406.08351. The Neural Network for model classification, as well as the implementation of LIME, for feature importance.

    Jupyter Notebook