Open-source toolkit for ML model evaluation and active learning

In plain words

This open-source toolkit helps developers evaluate machine learning models and implement active learning strategies. It provides tools for assessing model performance and selecting which data points to label for training, reducing the need for large manually-labeled datasets. The toolkit is designed for machine learning engineers and data scientists working on model development and optimization. Available on GitHub, it offers a free, community-driven approach to model evaluation workflows.

written from the facts on this page · September 2026

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