# JavierAntoran/Bayesian-Neural-Networks

<https://repo.masters-masters.com/en/repos/JavierAntoran/Bayesian-Neural-Networks>

[Home](https://repo.masters-masters.com/en) › [JavierAntoran](https://repo.masters-masters.com/en/owners/JavierAntoran) › [Bayesian-Neural-Networks](https://repo.masters-masters.com/en/repos/JavierAntoran/Bayesian-Neural-Networks)

JavierAntoran/Bayesian-Neural-Networks has 1,979 stars on GitHub. Its RepoMasters card: Beta tier. Pytorch implementations of Bayes By Backprop, MC Dropout…

| Field | Value |
| --- | --- |
| Owner | [JavierAntoran](https://repo.masters-masters.com/en/owners/JavierAntoran) |
| Stars | 1,979 |
| Forks | 305 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | deep-learning, bayesian-inference, pytorch, reproducible-research, bayesian-neural-networks, bayes-by-backprop, mc-dropout, mcmc, variational-inference, kronecker-factored-approximation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [JavierAntoran/Bayesian-Neural-Networks](https://github.com/JavierAntoran/Bayesian-Neural-Networks) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.