baal-org/baal
A Bayesian active learning library built on PyTorch for research and industrial machine learning workflows.
Not currently ranked — collecting fresh signals.
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Baal is an active learning library supporting both industrial and research use cases. It implements Bayesian acquisition functions such as BALD and entropy to guide the selection of the most informative unlabeled samples for annotation, reducing labeling costs. The library integrates with PyTorch and supports deep learning models for active learning workflows.
Frequently asked
- What is baal-org/baal?
- A Bayesian active learning library built on PyTorch for research and industrial machine learning workflows.
- Is baal open source?
- Yes — baal-org/baal is open source, released under the Apache-2.0 license.
- What language is baal written in?
- baal-org/baal is primarily written in Python.
- How popular is baal?
- baal-org/baal has 932 stars on GitHub.
- Where can I find baal?
- baal-org/baal is on GitHub at https://github.com/baal-org/baal.