MIE aerosol property correction via Neural Networks with Uncertainty Quantification

This branch is a stand alone Jupyter notebook implementation for model training and evaluation.

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Interactive Jupyter notebook

Prerequisite: Conda installed. Run these from the repo root (where environment.yml lives).

1. Create the Conda environment

conda env create -f environment.yml

2. Activate the environment

conda activate bnn_notebook_env

3. Register the Jupyter kernel (one-time)

python -m ipykernel install --user --name bnn_notebook_env --display-name "Python (bnn_notebook_env)"

4. Launch Jupyter and open the notebook file (model_explorer.ipynb)

jupyter notebook

In the UI: Kernel → Change Kernel → select "Python (bnn_notebook)"

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