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Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.

active 2023-08-192024-05-13 (UTC)

Complete coverage26,582 / 26,582 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
29
Pushes
5
Pull requests
0
Issues
1
Stars
15
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 269 days from 2023-08-19 to 2024-05-13. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 15 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ashahba5500
PasalaJanardhan1000

Recent activity

Latest issues, pull requests and releases

  • Releasedaniel-de-leon-user2932024-04-23 01:33
    Intel® Explainable AI Tools v1.0.0
  • Issue#2PasalaJanardhan2023-10-25 17:02
    TypeError: ModelAnalyzer requres eval_config argument of type tfma.EvalConfig or str.
  • Releaseashahba2023-10-06 23:00
    Intel® Explainable AI Tools v0.6.0

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 15 stars here means stars gained during the window, not the repo's star count.