There are 1 repository under multiscale topic.
[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
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. đź¤
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Official GitHub repository for MRST - the MATLAB Reservoir Simulation Toolbox
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.
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
Multiscale Modeling
PyGenStability: Multiscale community detection with generalized Markov Stability
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
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.
Efficient Multiscale Topology Optimization
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
Multigrid Neural Architecture
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
Deep learning model to predict complex stress and strain fields in hierarchical composites
FFT-based Homogenization
Object trackers you deserve!
GO-MELT: GPU-Optimized Multilevel Execution of LPBF Thermal simulations
The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.
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 background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.
A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
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.
Scalable Insets for HiGlass: a new technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps.
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Object-Oriented Perl 5, Moose Library for Molecular Hacking
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
App for the visualization of grain growth using Cellular Automata, Monte carlo and MC static recrystallization algorithms