https://github.com/ziatdinovmax/aps2020tutorial

Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver
https://github.com/ziatdinovmax/aps2020tutorial

Last synced: about 1 month ago
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Tutorial on image analysis with deep / machine learning for APS-2020 meeting in Denver

• Host: GitHub
• URL: https://github.com/ziatdinovmax/aps2020tutorial
• Owner: ziatdinovmax
• Created: 2020-02-28T05:44:05.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-04-26T19:26:35.000Z (over 5 years ago)
• Last Synced: 2025-04-15T20:09:45.195Z (6 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 28.5 MB
• Stars: 3
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# APS2020Tutorial

Tutorial on image analysis with deep / machine learning for APS 2020 meeting in Denver

This repository includes the following executable (in Google Colab) notebooks:

1. APS2020_ColabIntro.ipynb - intro to basic operations in Google Colab [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/APS2020Tutorial/blob/master/APS2020_ColabIntro.ipynb)

2. APS2020_NNRegressor.ipynb - simple regression with neural networks in PyTorch [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/APS2020Tutorial/blob/master/APS2020_NNRegressor.ipynb)

3. APS2020_Unet_AtomicImages.ipynb - application of U-Net-like convolutional neural network for image cleaning and atom finding [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/APS2020Tutorial/blob/master/APS2020_Unet_AtomicImages.ipynb) 

4. APS2020_GPim.ipynb - application of Gaussian processes to reconstruction of sparse 2D and 3D image data [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/APS2020Tutorial/blob/master/APS2020_GPim.ipynb)

5. (optional) APS2020_atomai.ipynb - Application of AtomAI package (pre-alpha) to atom finding and multivariate analysis of atomic images [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ziatdinovmax/APS2020Tutorial/blob/master/APS2020_atomai.ipynb)