AgentX transforms your ideas into executable strategies, eliminating black-box operations and making them reproducible.

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

The South Florida Water Management District started its second year of the python elimination program. One hunter has stood ...

Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.

OKLAHOMA CITY — The Oklahoma Court of Criminal Appeals has unanimously affirmed the use of BulletProof, a probabilistic genotyping software program, in the assault and battery trial of Patrick ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

Probabilistic programming is an approach to computing based on the idea that probabilistic models can be naturally and efficiently represented as executable code. This idea has enabled researchers to ...

In collider physics, experiments are often based on counting the numbers of events in bins of a histogram. We present a new way to build and analyze statistical models that describe these experiments, ...

Aaron Mann removed 87 Burmese pythons in July, the most by any hunter in the South Florida Water Management District's 2025 incentive program. Mann's total brings the 2025 program's eliminated python ...

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and ...