Colab notebooks exploring different Machine Learning topics.

Solving RL posed as inference

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.

Materials for a 2022/23 CS graduate lab on variational inference and probabilistic programming with Pyro-PPL.

🔥 Collection of PyTorch uses and abuses

A Pyro-PPL implementation of a 2D Ornstein-Uhlenbeck process using stochastic variational inference.

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.

You know I'm all about the Bayes!

Counterfactual inference for 3D brain imaging using deep structural causal models.