Pinned

1. Tuning-Dropout-for-Uncertainty-Models Tuning-Dropout-for-Uncertainty-Models Public

   Example code for "Tuning machine learning dropout for subsurface uncertainty model accuracy" https://doi.org/10.1016/j.petrol.2021.108975

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2. Robust-Spatial-Uncertainty-Modeling-Workflow-Surrogate-Flow-Model Robust-Spatial-Uncertainty-Modeling-Workflow-Surrogate-Flow-Model Public

   This repository contains a new and general workflow to generate accurate and precise machine learning-based surrogate flow models. https://doi.org/10.1016/j.petrol.2022.110244

   Jupyter Notebook 7 3

3. UTuning UTuning Public

   Uncertainty Tuning (UTuning) is a package that tunes hyperparameters based on the model goodness metric.

   Python 1