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GitHub / ryanquinnnelson / CMU-02750-Query-Selection-Methods-in-Active-Learning

Spring 2021 - Automation of Scientific Research - course project

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ryanquinnnelson%2FCMU-02750-Query-Selection-Methods-in-Active-Learning

Stars: 1
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 4.59 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: active-learning, algorithm-implementation, density-based-sampling, iwal, logistic-regression, max-disagreement-sampling, modal-library, query-by-committee, random-forest-classifier, type-1-active-learning, uncertainty-sampling

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