Brady Neal

realcause. Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.

causal-book-code. Python

causal-inference-books. Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info such as mini reviews of some of the books in the flowchart.

kaobook. A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

sampling-benchmark. Benchmark for samplers that sample from posterior distributions over model parameters

causai. Causai is a framework for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making systems

covid-xprize-comp. Jupyter Notebook

neural-networks. TeX

git-how. This is a command line tool written in Python 3 that is meant to help people with git. Regardless of whether they are completely new to git or just haven't memorized everything about git, this tool can be helpful.

1stPennApps. This is the Android app I wrote at PennAppsX. It provides a way to easily add a photo contact. The graphics were provided by a member of my team.

rl-width. Python