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Clean up categorization I #301
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Add or update a category to the best-of list
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This was referenced Jun 13, 2024
Decided to split this issue from from #256 and postpone to subsequent regular update. |
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Category details:
Currently, the distribution of projects among categories is very uneven.
The list of categories is still the same as from the repository's inception (2022-06). But the distribution now shows that it doesn't adequately categorize the atomistic ML (AML) projects it features. Two examples. 1) The two largest categories, ML-IAP and Rep-Learn, have 65 and 55 projects, respectively, and thematic overlap. 2) Some of the smallest categories, like Active learning and XAI, have less then five projects, and moreover, no significant growth for at least one year.
Additional context:
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