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

This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...

Trying to get your hands on the “Python Crash Course Free PDF” without breaking any rules? You’re not alone—lots of folks are looking for a legit way to ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

A high-fidelity Python implementation of the Q-learning oligopoly simulation from Calvano et al. (2020). This project provides a complete, tested, and extensible reproduction of the seminal study ...

In the 1970s and ’80s, Burmese pythons were introduced to Florida via the exotic pet trade. Released into the wild by overwhelmed pet owners, the massive snakes have since wreaked havoc on the local ...