aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A game theoretic approach to explain the output of any machine learning model.

The hub for EleutherAI's work on interpretability and learning dynamics

Natural Gradient Boosting for Probabilistic Prediction

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

Statistical Rethinking (2nd ed.) with NumPyro

Statistical Rethinking course in pymc3

Open Implementations of LLM Analyses

Comparing dollar-cost averaging frequencies 🤓

A small framework to benchmark forecasting models via backtesting