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hierarchical-image-explorer's Introduction

Hi there ๐Ÿ‘‹

I am a Researcher at the intersection of ML and visualization. When I am not in front of my computer, you will probably find me in the mountains. My research is at the intersection of AI and HCI. In this context, I am always searching for the best method to connect humans with AI systems. I try to help developers with techniques and visualizations that foster communication and provide insights during development and work on visualizations that help them understand the decisions their AI systems make.

hierarchical-image-explorer's People

Contributors

daniel-stucke avatar nik-weidl avatar niklas-gund avatar onc avatar researchdaniel avatar sparkier avatar

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hierarchical-image-explorer's Issues

Update README

The README is very outdated and missing a lot of the new stuff. Should be updated at some point.

Linting Checks

The code should be checked in terms of formatting before being merged. This can be done using Travis.

User docu

Write user documentation explaining usage, data management etc.

The index.d.ts does not work

Please:

  • Check for duplicate issues. Please file separate requests as separate issues on GitHub.
  • Describe how to reproduce the bug.
    run the backend/tests/imageRepTest.ts for example
    the import is still not recognized properly
  • Use the latest version, if possible. Always indicate which version you are using.
    Current main
  • Include error messages or gifs/screenshots of problematic behavior, if applicable.
    TSError: โจฏ Unable to compile TypeScript: src/representative.ts:5:24 - error TS7016: Could not find a declaration file for module 'colorthief'. 'Y:/Repos/HIE - dev/Hierarchical-Image-Explorer/node_modules/colorthief/dist/color-thief.js' implicitly has an 'any' type.
  • Provide an example.

Better way for timing in mnist_hirarchical_clustering

ATM the neo4j server is started at the beginning of the file. This takes ~45s. In the mnist test case with current configuration the clustering takes longer so when the clustering is done the server is always ready. For different datasets / hardware / clustering methods this might not be the case.

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