yfelekis

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bioinformatics-proteins-project

CategoricalCausalAbstraction

Abstraction of Causal Models

CausalInference

Illustration of counterfactual inference following Ferenc Huszar example

COTA

Dropout_Tutorial_in_PyTorch

Dropout as Regularization and Bayesian Approximation

GVI-posteriors-in-Probabilistic-Deep-Learning

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

yfelekis/GVI-posteriors-in-Probabilistic-Deep-Learning

yfelekis/bioinformatics-proteins-project

yfelekis/COTA

yfelekis/bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

yfelekis/CategoricalCausalAbstraction

Abstraction of Causal Models

yfelekis/CausalInference

Illustration of counterfactual inference following Ferenc Huszar example

yfelekis/Dropout_Tutorial_in_PyTorch

Dropout as Regularization and Bayesian Approximation

yfelekis/swa_gaussian

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

yfelekis/yfelekis.github.io

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