https://github.com/SelfExplainML/PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
https://github.com/SelfExplainML/PiML-Toolbox

interpretable-machine-learning low-code ml-workflow model-diagnostics

Last synced: 2 months ago
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PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

• Host: GitHub
• URL: https://github.com/SelfExplainML/PiML-Toolbox
• Owner: SelfExplainML
• License: apache-2.0
• Created: 2022-04-29T08:40:20.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-21T20:22:24.000Z (3 months ago)
• Last Synced: 2024-04-18T01:23:48.012Z (2 months ago)
• Topics: interpretable-machine-learning, low-code, ml-workflow, model-diagnostics
• Language: Jupyter Notebook
• Homepage: https://selfexplainml.github.io/PiML-Toolbox
• Size: 242 MB
• Stars: 868
• Watchers: 22
• Forks: 104
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Lists

• awesome-machine-learning-interpretability - PiML-Toolbox - Toolbox?style=social) | "a new Python toolbox for interpretable machine learning model development and validation. Through low-code interface and high-code APIs, PiML supports a growing list of inherently interpretable ML models.” | (Technical Resources / Open Source/Access Responsible AI Software Packages)
• AwesomeResponsibleAI - PiML Toolbox
• awesome-meteo - PiML