Tutorial on image analysis with deep / machine learning for APS 2020 meeting in Denver
This repository includes the following executable (in Google Colab) notebooks:
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APS2020_ColabIntro.ipynb - intro to basic operations in Google Colab
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APS2020_NNRegressor.ipynb - simple regression with neural networks in PyTorch
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APS2020_Unet_AtomicImages.ipynb - application of U-Net-like convolutional neural network for image cleaning and atom finding
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APS2020_GPim.ipynb - application of Gaussian processes to reconstruction of sparse 2D and 3D image data
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(optional) APS2020_atomai.ipynb - Application of AtomAI package (pre-alpha) to atom finding and multivariate analysis of atomic images
