A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.

ASH is a Python-based computational chemistry and QM/MM environment, primarily for molecular calculations in the gas phase, explicit solution, crystal or protein environment.

Entropy for Python

GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Official GitHub mirror of MRST

PyGenStability: Multiscale community detection with generalized Markov Stability

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. 🤠

Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation

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.

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy

Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.

Look-Up Table Synapse (LUTsyn) models for AMPA and NMDA (Pham et al., 2021)

Some examples of multi-scale simulating (perhaps without multi temporary)

Python library for solving large-scale inverse problems

Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites

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.

Official implementation of MSR-GCN (ICCV2021 paper)