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Colab notebooks exploring different Machine Learning topics.
Reduced Bayesian Neural Networks are Deterministic Neural Networks with a Bayesian subset of weights. redBNN class computes a MAP estimate of the entire NN and then performs Bayesian inference on a chosen layer or block.
:fire: Collection of PyTorch uses and abuses
Materials for a 2022/23 CS graduate lab on variational inference and probabilistic programming with Pyro-PPL.
A Pyro-PPL implementation of a 2D Ornstein-Uhlenbeck process using stochastic variational inference.
You know I'm all about the Bayes!
Repository accompanying the Master's Thesis: Bayesian Modeling of LED Thermal Systems for Advancing Predictive Maintenance. It contains the source code and data for Bayesian thermal modeling and analysis.