Machine Learning Engineering Open Book

(Advanced) Applied Econometrics

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

Implementation of the JUNE model using Graph Neural Networks in PyTorch

June is a framework for agent based modelling in an epidemiological and geographical context.

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 ;)

Techniques for deep learning with satellite & aerial imagery

Boilerplate for bootstrapping scalable multi-page Dash applications

Scattering Equations AMplitudes with PYthon

Visualization for the JUNE epidemic and intervention simulation tool

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

The fast.ai deep learning library, lessons, and tutorials