Pool-based active learning in Python
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Jun 18, 2023 - Python
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uncertainty-sampling
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UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
monte-carlo probability stochastic monte-carlo-simulation stochastic-process uncertainty-quantification probabilistic uncertainty-propagation latin-hypercube uncertainty-sampling latin-hypercube-sampling
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Mar 11, 2025 - Python
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
machine-learning deep-learning egl active-learning uncertainty-sampling core-set adversarial-active-learning bayesian-active-learning
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Sep 26, 2019 - Python
Open Active Learning for Deep Models
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Aug 23, 2019 - Python
This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.
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Jul 30, 2024 - Python
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