scikit-activeml and Active-Learning-as-a-Service
About scikit-activeml
scikit-activeml/scikit-activeml
scikit-activeml: A Comprehensive and User-friendly Active Learning Library
This library helps machine learning practitioners efficiently train models when labeled data is scarce or expensive to obtain. You provide a large amount of unlabeled data and a small initial set of labeled data. The system intelligently selects the most informative data points for you to label, resulting in a high-performing model with minimal labeling effort. Data scientists and ML engineers working with limited labeling budgets would find this valuable.
About Active-Learning-as-a-Service
HuaizhengZhang/Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.
Building high-performing AI models often requires vast amounts of labeled data, which is expensive and time-consuming. This tool helps machine learning practitioners efficiently select the most impactful data points from a large, unlabeled dataset to send for labeling, reducing overall costs. You feed it a large pool of unlabeled data (like images or text documents), and it outputs a smaller, highly informative subset ready for human annotation. This is ideal for anyone developing AI models, particularly those managing large datasets and tight labeling budgets.
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