Exploratory analysis of Bayesian models with Julia

VS Code color themes for the Julia language.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Probabilistic Machine Learning: Advanced Topics

A language for mental models

Grepc is an approachable regular expression highlighter with advanced customization for VS Code.

Implementation of variational Bayes inference algorithms

`eslint-plugin-import-x` is a fork of `eslint-plugin-import` that aims to provide a more performant and more lightweight version of the original plugin.

A free, source-available and fair-code licensed mac app cleaner

My public programs and models - mostly combinatorial problems and puzzles

"Probabilistic Machine Learning" - a book series by Kevin Murphy

A Julia machine learning framework

Bayesian Generalized Linear models using `@formula` syntax.

A latex math mode engine in pure Julia.

"Distributions" that might not add to one.

Combine ingredients for a plot

Markov Chain Monte Carlo Visualization Tools

Reanalysis of a paper in Cell Reports in Medicine from the Huberman lab in Stanford on breathing.

Package management made easy

🐬 Feature-rich, stable and customizable Flipper firmware

Inference case studies in jupyter

Book Chapter Drafts

Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.

Crafty statistical graphics for Julia.

Tidier data visualization in Julia, modeled after the ggplot2 R package.