yfelekis

GVI-posteriors-in-Probabilistic-Deep-Learning

bioinformatics-proteins-project

COTA

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

CategoricalCausalAbstraction

Abstraction of Causal Models

CausalInference

Illustration of counterfactual inference following Ferenc Huszar example

Dropout_Tutorial_in_PyTorch

Dropout as Regularization and Bayesian Approximation

swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

yfelekis.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes