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.

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

You know I'm all about the Bayes!