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.
Bayesian Inference
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
Code relative to paper arXiv:1808.01930 [hep-ex]
A curated list of my Artificial Intelligence project.
Matrix Determinant Toolkit (memdet)
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