In this slightly different post, I talk about my first experience with metaprogramming in Julia.
A short introduction to using, building and contributing Quarto Extensions.
This third post introduces conformal regression by going through a standard machine learning workflow using MLJ.jl and ConformalPrediction.jl.
MLJ.jl
ConformalPrediction.jl
A guide demonstrating how to use ConformalPrediction.jl to conformalize a deep image classifier in a few lines of code.
A short companion post to my presentation on using Quarto with Julia at the 2nd JuliaLang Eindhoven meetup in November, 2022.
A (very) gentle introduction to Conformal Prediction in Julia using my new package ConformalPrediction.jl.
This post introduces a new Julia package for generating counterfactual explanations. The package can be used to explain machine learning algorithms developed and trained in Julia as well as other popular programming languages like Python and R.
An opinionated, practical review celebrating the open-source community. I discuss why Quarto is nothing short of revolutionary and how I’ve been using it with Julia.
An introduction to effortless Bayesian deep learning through Laplace approximation coded from scratch in Julia.
An introduction to Bayesian Logistic Regression from the bottom up with examples in Julia language.
An introduction to algorithmic recourse and an implementation of a simplified version of REVISE (Joshi et al., 2019). This post was prepared as part of my PhD application.
Research on explainable AI has recently gained considerable momentum. In this post I explore a Bayesian approach to ex-post explainability of Deep Neural Networks.a
A small post on how I (used to!) build this website using blogdown.
blogdown
The obligatory welcome post and a shout-out to Yihui Xie and the folks behind quarto.
