Some examples of multi-scale simulating (perhaps without multi temporary)
-
Updated
Nov 23, 2023 - Python
Some examples of multi-scale simulating (perhaps without multi temporary)
Project for fitting a multiscale model as described in Kolaczyk et al 2000.
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
Multi Scale Object Detection
Charm is a python package to implement Characterization of reflectors and modeling
A highly parallel and fast event detector based on CWT transform.
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
A Bayesian multiscale deep learning framework for flows in random media
This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
The concurrent atomistic-continuum simulation environment
Deep learning model to predict complex stress and strain fields in hierarchical composites
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio back…
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
FFT-based Homogenization
[ICIP'24 Oral Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Add a description, image, and links to the multiscale topic page so that developers can more easily learn about it.
To associate your repository with the multiscale topic, visit your repo's landing page and select "manage topics."