Popular GitHub Repositories for Monte Carlo Dropout

A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

An experimental Python package for learning Bayesian Neural Network.

An NLP Model used for automated assignment of bug reports to the relevant engineering team. Utilizes a novel confidence bounding approach - Monte Carlo Dropout, and assigns underconfident predictions to a queue for human review. Built for Pegasystems Inc.

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

Probabilistic approach to neural nets - modern scalable approximate inference methods