Topic: multiscale Goto Github
Some thing interesting about multiscale
Some thing interesting about multiscale
multiscale,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.
User: abdel-habib
multiscale,Multiscale Entropy with Python
User: antoine-jamin
multiscale,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.
User: ashkan-abbasi66
multiscale,PyGenStability: Multiscale community detection with generalized Markov Stability
Organization: barahona-research-group
Home Page: https://barahona-research-group.github.io/PyGenStability/
multiscale,A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io/
multiscale,Multigrid Neural Architecture
User: buttomnutstoast
multiscale,CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation
User: chenliu-1996
Home Page: https://arxiv.org/abs/2209.11359
multiscale,[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
Organization: city-super
Home Page: https://city-super.github.io/citynerf
multiscale,Object-Oriented Perl 5, Moose Library for Molecular Hacking
User: demianriccardi
multiscale,A Fracture Multiscale Model for Peridynamic enrichment within the Partition of Unity Method
User: diehlpk
Home Page: https://arxiv.org/abs/2108.02336
multiscale,Official implementation of MSR-GCN (ICCV2021 paper)
User: droliven
multiscale,Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
User: filippo-masi
multiscale,FFT-based Homogenization
User: firdes
multiscale,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.
User: flekschas
multiscale,Python library for solving large-scale inverse problems
User: fpicetti
multiscale,A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
User: ghtara
Home Page: https://arxiv.org/abs/2307.12005v1
multiscale,The concurrent atomistic-continuum simulation environment
Organization: gt-mcdowell-lab
multiscale,Shallow Water Equations for RelatiVistic Environments
User: harpolea
multiscale,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.
User: je-santos
multiscale,This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
User: juntaohuang
Home Page: https://www.sciencedirect.com/science/article/pii/S0021999121006380
multiscale,Deep learning model to predict complex stress and strain fields in hierarchical composites
User: lamm-mit
Home Page: https://www.science.org/doi/10.1126/sciadv.abd7416
multiscale,Some examples of multi-scale simulating (perhaps without multi temporary)
User: likeduck
Home Page: https://github.com/likeduck
multiscale, Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites
Organization: master-oocc
Home Page: https://www.researchgate.net/publication/340031754_Numerical_simulation_of_carbon_nanotubes
multiscale,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. 🤠
Organization: mica-mni
Home Page: https://enigma-toolbox.readthedocs.io
multiscale,Efficient Multiscale Topology Optimization
Organization: mid2supaero
multiscale,Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
User: mkang315
multiscale,Charm is a python package to implement Characterization of reflectors and modeling
User: mmaysami
multiscale,Entropy for Python
User: nikdon
Home Page: https://donets.org/projects/pyentropy/
multiscale,Gaussian parameter estimation using multiscale analysis
User: nspi
Home Page: http://dx.doi.org/10.1109/tsp.2018.2887190
multiscale,We prove continuity of the limit distribution function of certain multiscale test statistics which are used in nonparametric curve estimation.
User: ogcjn
multiscale,A multiscale QSP model of IFN-alpha induced activation of the JAK/STAT pathway in human liver cells (Kalra et al., 2019)
Organization: open-systems-pharmacology
multiscale,pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
User: power0341
multiscale,A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.
Organization: precice
multiscale,Codes for the paper Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion Strategy.
User: rlin27
multiscale,A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Organization: sciml
Home Page: https://docs.sciml.ai/MultiScaleArrays/stable/
multiscale,Official GitHub mirror of MRST
Organization: sintef-appliedcompsci
Home Page: http://www.mrst.no
multiscale,Multiscale Modeling
User: sondrerokvam
multiscale,Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
Organization: spatial-image
multiscale,Project for fitting a multiscale model as described in Kolaczyk et al 2000.
User: thomasjdelaney
Home Page: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1538-4632.2001.tb00439.x
multiscale,A highly parallel and fast event detector based on CWT transform.
User: vganjali
multiscale,App for the visualization of grain growth using Cellular Automata, Monte carlo and MC static recrystallization algorithms
User: vilgefortzz
multiscale,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.
User: vineeths96
multiscale,Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous media with finite volume approximation on the fine grid
User: vmasha
multiscale,Implementation of the Generalized Multiscale Finite Element Method (GMsFEM) for solution problems in heterogeneous or/and perforated media based on the system representation (fvm or fem fine grid approximation)
User: vmasha
multiscale,A Bayesian multiscale deep learning framework for flows in random media
Organization: zabaras
Home Page: https://www.aimsciences.org/article/doi/10.3934/fods.2021016?viewType=html
multiscale,Object trackers you deserve!
User: zanazakaryaie
Home Page: http://imrid.net/?p=4441
multiscale,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.
User: zhang201882
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