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Python3 implementation of the correlation-based regression algorithm.
Published 2024“…<p>Python3 implementation of the correlation-based regression algorithm.…”
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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education
Published 2025“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”
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Comparison of performance between our next reaction implementation and the Python library from Ref. [3].
Published 2025“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”
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Multiprocessing and GPU application of SVMs significantly reduces run-times.
Published 2022Subjects: -
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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
Published 2021“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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PyRates—A Python framework for rate-based neural simulations
Published 2019“…In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. …”
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Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C.
Published 2022“…<p>Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C.…”
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Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization
Published 2025“…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…”