Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

A professional Python library for PlanetScope satellite imagery analysis, providing comprehensive tools for scene discovery, metadata analysis, spatial-temporal density calculations, asset management, ...

In my work with students across age groups, I have found great power in using words and images, as well as elements of design, to build capacity for critical analysis and discussion. Comics can be an ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

When it comes to data science, you have excellent tools at your disposal: pandas and polars for data exploration, skrub for stateful transformations, and scikit-learn for model training and evaluation ...