multiscale
Here are 60 public repositories matching this topic...
A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
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Jun 3, 2024 - Python
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
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May 12, 2024 - Python
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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May 6, 2024 - Julia
Official GitHub mirror of MRST
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Apr 30, 2024 - MATLAB
PyGenStability: Multiscale community detection with generalized Markov Stability
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Apr 29, 2024 - C++
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠
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Apr 11, 2024 - Python
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
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Mar 27, 2024 - Python
CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation
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Mar 13, 2024 - Python
This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
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Mar 11, 2024 - MATLAB
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
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Mar 1, 2024 - Python
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
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Jan 21, 2024 - Python
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
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Jan 2, 2024 - Python
Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)
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Nov 28, 2023 - AMPL
Some examples of multi-scale simulating (perhaps without multi temporary)
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Nov 23, 2023 - Python
Python library for solving large-scale inverse problems
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Aug 4, 2023 - Jupyter Notebook
Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites
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Jun 24, 2023
A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.
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Jun 22, 2023 - Jupyter Notebook
Official implementation of MSR-GCN (ICCV2021 paper)
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May 22, 2023 - Python
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