Why Contribute?
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Support open-source, transparent, and reproducible XAI research
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Benefit from searchability and discoverability as part of a larger toolkit
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Go from research to production through possible transition to industry and government partners
Please note that at this time, we are only accepting publicly released contributions.
How to contribute a new capability
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Navigate to the
_capabilities
folder in the xaitk website repository -
Click “Add file” → “Create new file” (please use the .md file extension)
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Give the file an appropriate name (e.g.
fakesal.md
), and copy the following template there--- title: "Title of the contribution" excerpt: "An excerpt describing this contribution." tags: # Select from this set - Analytics - Autonomy - Computer Vision - Natural Language Processing - Reinforcement Learning - Visual Question Answering (VQA) - Human-Machine Teaming - Saliency - Data Poisoning - Medical - Explanation Framework submission_details: resources: # List any resources associated with the contribution. Not all sections are required papers: - title: Paper link text url: Paper link url software: - title: Software link text url: Software link url - title: Another software link text url: Another software link url demos: - title: Demo link text url: Demo link url data: - title: Data link text url: Data link url # Optional information describing artifact. Leave blank if unused version: Version Number size: Size license: Link to license authors: - Author Name # Optional for multiple authors and organizations - Author Name<sup>1</sup> organizations: - Organization # Optional for multiple authors and organizations - 1. Organization point_of_contact: name: PoC Name email: email --- ## Overview [comment]: <> (What is the main purpose of the contribution?) ## Intended Use [comment]: <> (What is the intended use case for this contribution?) [comment]: <> (What domains/applications has this contribution been applied to?) ## Model/Data [comment]: <> (If a model is involved, what are its inputs and outputs?) [comment]: <> (If the model was learned/trained, what data was used for training/testing?) ## Limitations [comment]: <> (Are there known failure modes?) [comment]: <> (Are there any additional limitations/ethical considerations for use of this contribution?) ## References [comment]: <> (Any additional information, e.g. papers \(cited with bibtex\) related to this contribution.)
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Fill out this template with the information relevant to your contribution, deleting the existing commented text and replacing it with your own. If you are new to Markdown, please see the guide here. An example submission can be found at
_capabilities/fakesal.md
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You can preview your submission at any time by clicking on the “Preview” tab. When ready, submit a pull request to the XAITK repository with these changes. Please give the branch a meaningful name, e.g.
dev/add-fakesal-description
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If you encounter any problems with submitting your contribution, please reach out to us at xaitk@kitware.com