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uncertainty-baselines
Python

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

by google · GitHub
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bayesian-methodsdata-sciencedeep-learningApache-2.0Python
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Access high-quality examples of machine learning methods to help develop new ideas and improve research practices.

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1 5831 582
2026-07-202026-08-31
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📄 About

High-quality implementations of standard and SOTA methods on a variety of tasks.

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.

Frequently asked questions

What is uncertainty-baselines?

High-quality implementations of standard and SOTA methods on a variety of tasks.

Is uncertainty-baselines open source?

uncertainty-baselines is an open-source project. It is released under the Apache-2.0 license.

Is uncertainty-baselines free?

Yes. uncertainty-baselines is free and open source — you can use, modify and self-host it.

What license does uncertainty-baselines use?

uncertainty-baselines is available under the Apache-2.0 license.

What language is uncertainty-baselines written in?

uncertainty-baselines is written mainly in Python.

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