# SelfExplainML/PiML-Toolbox

<https://repo.masters-masters.com/en/repos/SelfExplainML/PiML-Toolbox>

[Home](https://repo.masters-masters.com/en) › [SelfExplainML](https://repo.masters-masters.com/en/owners/SelfExplainML) › [PiML-Toolbox](https://repo.masters-masters.com/en/repos/SelfExplainML/PiML-Toolbox)

SelfExplainML/PiML-Toolbox has 1,287 stars on GitHub. Its RepoMasters card: Beta tier. PiML (Python Interpretable Machine Learning) toolbox for model…

| Field | Value |
| --- | --- |
| Owner | [SelfExplainML](https://repo.masters-masters.com/en/owners/SelfExplainML) |
| Stars | 1,287 |
| Forks | 135 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | interpretable-machine-learning, low-code, ml-workflow, model-diagnostics |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [SelfExplainML/PiML-Toolbox](https://github.com/SelfExplainML/PiML-Toolbox) |

## Repository

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
