https://github.com/JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
https://github.com/JavierAntoran/Bayesian-Neural-Networks

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

Last synced: 3 months ago
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Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

• Host: GitHub
• URL: https://github.com/JavierAntoran/Bayesian-Neural-Networks
• Owner: JavierAntoran
• License: mit
• Created: 2019-03-11T10:21:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-20T01:10:33.000Z (about 1 year ago)
• Last Synced: 2024-05-22T06:39:20.339Z (6 months ago)
• 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
• Language: Jupyter Notebook
• Homepage:
• Size: 15.6 MB
• Stars: 1,757
• Watchers: 27
• Forks: 294
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-sciml - JavierAntoran/Bayesian-Neural-Networks: Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more