reionemu

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1. reionemu reionemu Public

   Machine learning python package for reionization simulations, with uncertainty quantification.

   Python 8

2. platform platform Public

   Production ML inference platform for reionemu with APIs, asynchronous jobs, and cloud deployment.

3. dataset-creation dataset-creation Public

   Parameter sampling, simulation runs, and dataset assembly for reionemu training data, with Bridges-2 CPU and GPU pipelines.

   Python

4. reionemu-pasa-2026 reionemu-pasa-2026 Public

   This repository contains the paper-specific workflow for "An Uncertainty-Aware Machine Learning Emulator for the Reionization kSZ Power Spectrum."

   Jupyter Notebook

5. failure-analysis failure-analysis Public

   An analysis of the failures of reionemu as part of EN.601.687: Machine Learning: Coping with Non-Stationary Environments and Errors taught by Dr. Anqi (Angie) Liu.

   Jupyter Notebook