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opacus
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opacus

Training PyTorch models with differential privacy

by meta-pytorch · GitHub
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deep-learningdifferential-privacymachine-learningApache-2.0Python
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Train machine learning models while keeping user data private with minimal code changes.

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1 9431 942
2026-07-202026-08-31
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📄 About

Training PyTorch models with differential privacy

opacus has 1.9k stars on GitHub. It has been forked 397 times. opacus is written mainly in Python. It has been in active development since 2019. opacus is available under the Apache-2.0 license. Its main topics are deep-learning, differential-privacy, machine-learning, neural-network.

Frequently asked questions

What is opacus?

Training PyTorch models with differential privacy

Is opacus open source?

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

Is opacus free?

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

What license does opacus use?

opacus is available under the Apache-2.0 license.

What language is opacus written in?

opacus is written mainly in Python.

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