jupyter-annotate
responsible-ai-toolbox
jupyter-annotate | responsible-ai-toolbox | |
---|---|---|
1 | 2 | |
14 | 1,235 | |
- | 4.9% | |
0.0 | 9.4 | |
almost 2 years ago | 6 days ago | |
TypeScript | TypeScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jupyter-annotate
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[P] Text annotator for entity extraction that runs in your notebook
Hi! We have just open-sourced our text annotator which runs directly in your notebook. You can now select spans of text for entity extraction and do your processing & modelling all in the same place. This allows for quick iteration when getting a project started. Here is the repository: https://github.com/dataqa/jupyter-annotate.
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?
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
DALEX - moDel Agnostic Language for Exploration and eXplanation
kubeflow - Machine Learning Toolkit for Kubernetes
EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
simple-data-analysis - Easy-to-use JavaScript library for most common data analysis tasks. [Moved to: https://github.com/nshiab/simple-data-analysis.js]
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.