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GitHub - NUAA-AL/ALiPy: ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
Intro to Active Learning - inovex GmbH
8 Active Learning Insights of Python Collection Module – Towards AI
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Active Learning Tutorial with Python | Machine Learning | Towards Data Science
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ALiPy: Active Learning in Python | DeepAI
Active Learning: An Exploratory Study of its Application in Statistics and R | by Andy Wang | Towards Data Science
Data Annotation Using Active Learning With Python Code | by sourajit roy chowdhury | The Startup | Medium
ActiveLearning Inc posted about Completed Basic Python Programming Live Online training with Virtual Labs. #UpgradeYourself #python | LinkedIn
Active Learning: Strategies, Tools, and Real-World Use Cases
GitHub - modAL-python/modAL: A modular active learning framework for Python
PDF] libact: Pool-based Active Learning in Python | Semantic Scholar
Small-text: Active Learning for Text Classification in Python | DeepAI
Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels | Scientific Reports
Cost Sensitive Active Learning for Incomplete Data - YouTube
PDF] ALiPy: Active Learning in Python | Semantic Scholar
PDF) libact: Pool-based Active Learning in Python
P] Small-Text: Active Learning for Text Classification in Python : r/LanguageTechnology
GitHub - RelationRx/pyrelational: pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies ...
Active Learning Tutorial with Python | Machine Learning | Towards Data Science