CIDS is a framework for Artificial Intelligence (AI) and Machine Learning (ML) for engineering, materials, and natural sciences applications. It combines models, functions, and pipelines from libraries such as tensorflow/keras, sklearn, scipy, and pandas to …

The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a …

This python based tool extracts metadata from machine generated scanning microscopy images in the TIFF format. Currently only metadata from SEMs manufactured by Zeiss, and acquired by their own software is supported. In future, metadata …