Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationSkill source unconfirmed
3.2KGitHub
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Results · “explainability”
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Results: 6
Pytorch Grad Cam
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Ml AutomationSkill source unconfirmed
12.9KGitHub
AIX360
Trusted-AI
Interpretability and explainability of data and machine learning models
Ml AutomationSkill source unconfirmed
1.8KGitHub
Shap
shap
A game theoretic approach to explain the output of any machine learning model.
Ml AutomationSkill source unconfirmed
25.5KGitHub
Traceml
polyaxon
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Ml AutomationSkill source unconfirmed
533GitHub
Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
Ml AutomationSkill source unconfirmed
6.9KGitHub