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Bayesian-Neural-Networks

Bayesian-Neural-Networks

by JavierAntoran · GitHub

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

# approximate-inference# bayes-by-backprop# bayesian-inference# bayesian-neural-networks
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⭐ Stars
2k
🍴 Forks
305
📜 License
MIT
Commercial use OK
📅 Created
2019
🔄 Last commit
2 yr ago
🏷️ Category
approximate-inference
💻 Language
🖥️ Self-hostable
Likely
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📈 Star history
1 9671 966
2026-07-202026-07-21
📄 About

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Frequently asked questions

What is Bayesian-Neural-Networks?

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Is Bayesian-Neural-Networks open source?

Bayesian-Neural-Networks is an open-source project. It is released under the MIT license.

Is Bayesian-Neural-Networks free?

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

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