High-quality implementations of standard and SOTA methods on a variety of tasks.
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uncertainty-baselines has 1.6k stars on GitHub. It has been forked 223 times. uncertainty-baselines is written mainly in Python. It has been in active development since 2020. uncertainty-baselines is available under the Apache-2.0 license. Its main topics are bayesian-methods, data-science, deep-learning, machine-learning.
High-quality implementations of standard and SOTA methods on a variety of tasks.
uncertainty-baselines is an open-source project. It is released under the Apache-2.0 license.
Yes. uncertainty-baselines is free and open source — you can use, modify and self-host it.
uncertainty-baselines is available under the Apache-2.0 license.
uncertainty-baselines is written mainly in Python.
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