This repository provides code and tutorials to help participants get started with developing dose prediction models for the GDP-HMM Challenge at AAPM 2025. 🎉 [06/10/2025] The top six solutions have ...

I heard that programs running on Python, such as ComfyUI or reForge, can be turned into applications that launch with a single click. With the increase in AI tools running locally, such as reForge and ...

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...

from typing import Self class Grower: child: Self|None def __init__(self, id:int): self.id = id self.child = None def reproduce(self)->Self: self.child = Grower(self ...

Families rescued from an attic as flood wave hits Texas Hill Country ...

NeuroKit2 is a Python Toolbox for Neurophysiological Signal Processing. The presented method is an adaptation of NeuroKit2 to simplify and automate computation of the various mathematical estimates of ...

A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not ...

Learning about temporal structure is adaptive because it enables the generation of expectations. We examined how the brain uses experience in structured environments to anticipate upcoming events.

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...