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This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.
A part of the final year project solution for low cost,sprase and explainable situations using LSTM,PINN,KAN-based surrogate models for two scale dynamics forecasting.
Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can! (Work presented at IEEE VIS 2021)