Bayesian-Neural-Networks
by JavierAntoran (personal account)
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more (description from the project’s GitHub page)
Repository facts
- Stars
- 1,976
- Forks
- 306
- Open issues and pull requests
- 5
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- JavierAntoran · Personal account
- Created
- Mar 11, 2019
- Last push
- Oct 20, 2023
Topics
- approximate-inference
- bayes-by-backprop
- bayesian-inference
- bayesian-neural-networks
- classification
- deep-learning
- hmc
- kronecker-factored-approximation
- langevin-dynamics
- local-reparametrization-trick
- mc-dropout
- mcmc
- out-of-distribution-detection
- pytorch
- regression
- reproducible-research
- sgld
- uncertainty
- uncertainty-neural-networks
- variational-inference
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