Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
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Updated
Nov 3, 2017 - Python
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
Gauss Naive Bayes in Python From Scratch.
Code relative to paper arXiv:1808.01930 [hep-ex]
Bayesian Inference
A curated list of my Artificial Intelligence project.
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
Matrix Determinant Toolkit
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