Projects
Spotlight
These are the projects I'm currently most proud of and excited about:
An common interface to most automatic differentiation backends in the Julia ecosystem.
Work with Guillaume Dalle.
Work with Guillaume Dalle.
Blog posts on best practices for Julia development. Goes into detail on how to write, debug, profile, optimize and share code in form of a Julia package.
Work with Guillaume Dalle and Jacobus Smit.
Work with Guillaume Dalle and Jacobus Smit.
Probably the world's most sophisticated dithering software. 30 dithering algorithms that can be applied in black & white, per color channel or using arbitrary color palettes. Includes automatic color palette generation and Unicode outputs.
Explainable AI
The Julia-XAI organization hosts Explainable AI methods written in Julia, with a focus on post-hoc, local input-space explanations of black-box models. In simpler terms, methods that try to answer the question "Which part of the input is responsible for the model's output?".
Collection of Explainable AI methods in Julia. Classical Gradient-based methods, input augmentations and GradCAM.
Layerwise Relevance Propagation and Concept Relevance Propagation for use with Flux.jl. Includes state of the art rules for Vision Transformers.
Other packages
Julia macros to surf the web, browse code, and file issues from the comfort of your REPL.
Julia reimplementation of Total Variation Regularized Numerical Differentiation.
Scrape BoardGameGeek.com, the IMDB of board games. I originally wrote this package for a data analysis blog post that never happened.
Convert Jupyter notebooks to Pluto notebooks. Initially written for the JuML course.
Collaborations & Maintenance
Obfuscate your Julia code by replacing it with emoji. Includes some horrible (great) puns.
Work with Théo Galy-Fajou.
Work with Théo Galy-Fajou.
Visualize arrays in the REPL using braille or block unicode symbols. Real fast and dependency free.
