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pycroscopy/atomai

0
View on GitHub↗
228 stars·42 forks·Python·MIT·11 viewsatomai.readthedocs.io↗

Atomai

AtomAI is a Pytorch-based package for deep and machine learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by…

Features

  • Analysis Pipelines - Deep learning tools for microscopy analysis.
  • General Tools - Deep learning tools for microscopy and atomistic data.

Star history

Star history chart for pycroscopy/atomaiStar history chart for pycroscopy/atomai

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does pycroscopy/atomai do?

AtomAI is a Pytorch-based package for deep and machine learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by…

What are the main features of pycroscopy/atomai?

The main features of pycroscopy/atomai are: Analysis Pipelines, General Tools.

What are some open-source alternatives to pycroscopy/atomai?

Open-source alternatives to pycroscopy/atomai include: bodenmillergroup/imcworkflow. cellprofiler/cellprofiler — An open-source application for biological image analysis. cellprofiler/cellprofiler-analyst. chapmanb/bcbio-nextgen — Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis. danifranco/biapy. bactopia/bactopia — A flexible pipeline for complete analysis of bacterial genomes.