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@SkyExplain

SkyExplain

Tools for Interpretable Machine Learning Model Selection in Cosmology

SkyExplain

SkyExplain GitHub organization — a growing hub for machine learning cosmological model classification with interpretable data analysis.

We develop open-source tools to simulate cosmological datasets, classify models with neural networks, and extract interpretable insights from the results.

Repositories

  • SkySimulation – High-fidelity sky simulations for cosmological observations.
  • SkyNeuralNets – Machine learning neural network architectures.
  • SkyInterpret – Tools for interpretable ML and AI results; visualize model outputs effectively.

Browse all our repositories here.

Communication

  • 🐛 Issues – Report bugs or ask technical questions corresponding to each package.
  • 💡 Discussions – Broader conversations, ideas, and brainstorming.

Licensing

  • 📜 All SkyExplain projects use the MIT license by default. Please refer to each repository for specific licensing details.

Support SkyExplain

  • 🌟 Star our repositories
  • 💬 Spread the word

Popular repositories Loading

  1. SkySimulation SkySimulation Public

    Cosmological data generation for machine-learning model-selection.

    Python

  2. SkyNeuralNets SkyNeuralNets Public

    Machine learning analysis for cosmological model selection with neural networks.

    Python

  3. .github .github Public

Repositories

Showing 3 of 3 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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