Learn how to design, develop, deploy and iterate on production-grade ML 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 ;)

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Python-based tools for document analysis and OCR

3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

Tools to train a generative model on arbitrary audio samples

CUDA-accelerated GIS and spatiotemporal algorithms

Kernel Density Estimation in Python

More than a hundred strange attractors

A library for debugging/inspecting machine learning classifiers and explaining their predictions

The "breathing k-means" algorithm with datasets and example notebooks

Using satellite images and computer vision to study the evolution and effects of spatial apartheid in South Africa.

Spatial epi course

This is the public repo with data and code for article by Colbert and Starger

This is a public repo for the data and analyses performed on emergency response data from the Chicago Office of Emergency Management & Communication ("OEMC") provided to our partners at the Invisib…