🦜🔗 Build context-aware reasoning applications

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 ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

llama3 implementation one matrix multiplication at a time

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Notebooks about Bayesian methods for machine learning

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

Scientific Computing

AeroMAPS: Multidisciplinary Assessment of Prospective Scenarios for air transport