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models represented » models represent (Expand Search), models representing (Expand Search), model presented (Expand Search)
python models » motion models (Expand Search), pelton models (Expand Search)
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Schematic showing how the tracking model uses the inputs to make predictions.
Published 2022Subjects: -
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Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli.
Published 2019Subjects: -
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Re-Implementation of Refactory_GPT_Models Tool
Published 2024“…The file `requirements.txt` lists the python packages, along with their specific version number, required by the tool.…”
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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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Invert4Geom; Progress towards an open-source geometric gravity inversion with stochastic uncertainty analysis
Published 2024“…Here, we present a preliminary inversion algorithm written in Python to perform these geometric style of gravity inversions. …”
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Cost functions implemented in Neuroptimus.
Published 2024“…In recent years, manual model tuning has been gradually replaced by automated parameter search using a variety of different tools and methods. …”
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A high-performance and highly reusable fast multipole method library and its application to solvation energy calculations at virus-scale
Published 2022“…It empowers researchers to compute solvation energy at the scale of viruses interactively via easy-to-use Python interfaces. The 1/N convergence rate observed in mesh-refinement studies confirms code correctness, and result comparison with other trusted PB software shows agreement using a wide range of proteins.Performance results report timings and breakdowns with between 8,000 and 2 million boundary elements and confirm the linear complexity in both time and space. …”