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GitHub / navdeep-G / interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navdeep-G%2Finterpretable-ml
PURL: pkg:github/navdeep-G/interpretable-ml

Stars: 21
Forks: 8
Open issues: 13

License: apache-2.0
Language: Jupyter Notebook
Size: 84.4 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: 9 months ago
Pushed at: about 3 years ago
Last synced at: 4 months ago

Topics: accountability, data-mining, data-science, decision-trees, fairness, fatml, gradient-boosting-machine, iml, interpretability, interpretable, interpretable-ai, interpretable-machine-learning, interpretable-ml, lime, machine-learning, machine-learning-interpretability, python, transparency, xai

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