EthicML
responsible-ai-toolbox
| EthicML | responsible-ai-toolbox | |
|---|---|---|
| 1 | 2 | |
| 24 | 1,226 | |
| - | 4.2% | |
| 9.3 | 9.4 | |
| 4 days ago | 7 days ago | |
| Python | TypeScript | |
| GNU General Public License v3.0 only | MIT License |
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EthicML
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[R] An overview of some available Fairness Frameworks & Packages
These are all great tools. I found though that there wasn't one package with the flexibility of what we needed in my research group for work in this area, so we wrote EthicML. Some of you may also find it useful too.
responsible-ai-toolbox
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Debugging Machine Learning "[N]"
http://erroranalysis.ai/ is a new open-source tool for in-depth understanding and diagnosis of Machine Learning Errors. The tool is available as a highly interactive jupyter widget and brings in several visualization primitives all centered around debugging activities in ML (main repo: https://github.com/microsoft/responsible-ai-widgets).
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[N] Visualize Your Model Errors! Microsoft Toolkit Identifies and Diagnoses ML Failures
The toolkit is on the project GitHub. Additional information is available on the Error Analysis website.
What are some alternatives?
DALEX - moDel Agnostic Language for Exploration and eXplanation
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
fairlearn - A Python package to assess and improve fairness of machine learning models.
jupyter-annotate - Interactive Text Annotation for Jupyter Notebook/Lab
verifyml - Open-source toolkit to help companies implement responsible AI workflows.
simple-data-analysis - Easy-to-use JavaScript library for most common data analysis tasks. [Moved to: https://github.com/nshiab/simple-data-analysis.js]
AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
cumulocity-app-builder - The Application Builder for Cumulocity provides a simple, coding-free way to create new applications inside Cumulocity. Application Builder is an open-source tool for you to create web applications in a no-code environment. Created by Global Presales.