Patrick Altmeyer's Projects
A tool for package developers for working with artifacts.
A repo containing a .bib file with the sole purpose to be used as a submodule in other repos.
This repo contains all the code that builds my blog.
Repo I used for BSE School on Statistical Machine Learning
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
A repo containing course work from an econometrics module focused on causal inference.
A performance comparison of two clustering methods - K-means and MST.
Conditional probability distributions powered by DistributionsAD.jl
A simple module for Directed Acyclical Graphs (DAG). Given a DAG we develop a simple algorithm that identifies all valid adjustment sets.
Julia package for getting US Treasury yield curves
Vector Autoregression augmented with deep learning.
[FORK] An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data
Stores my config files (e.g. .zshrc, .vimrc, ...)
Easy interface for obtaining fits for 2D data
Small shiny app that makes a subset of World Development Indicators (WDI) related to education and provided by the World Bank readily available.
An application of the EM algorithm and Bayesian inference coded from scratch to a simple multilevel regression model as in Gelman, Hill (2007).
Repository for "Endogenous Macrodynamics in Algorithmic Recourse" (Altmeyer et al., 2023)
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
Relax! Flux is the ML library that doesn't make you tensor
A book that collects in a structured manner any ideas, notes, exercises and code that I come across as a student of data science. Work-in-progress.
Package accomponying fromScratch GitBook.
The official registry of general Julia packages
Generative Models with trainable conditional distributions in Julia!
An Introduction to Deep Generative Modeling: Examples
Julia code for Probabilistic Machine Learning
A course repository to follow along fast.ai using Julia!