multiscale

nikdon/pyEntropy

Entropy for Python

MICA-MNI/ENIGMA

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. 🤠

benedekrozemberczki/walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

SciML/MultiScaleArrays.jl

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

Droliven/MSRGCN

Official implementation of MSR-GCN (ICCV2021 paper)

fpicetti/occamypy

Python library for solving large-scale inverse problems

RagnarB83/ash

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.

SondreRokvam/Multiscale-Modeling

Multiscale Modeling

mkang315/CST-YOLO

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

SINTEF-AppliedCompSci/MRST

Official GitHub mirror of MRST

power0341/RSA_pycaffe

pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'

buttomnutstoast/Multigrid-Neural-Architectures

Multigrid Neural Architecture

barahona-research-group/PyGenStability

PyGenStability: Multiscale community detection with generalized Markov Stability

spatial-image/multiscale-spatial-image

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

ChenLiu-1996/CUTS

CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation

vineeths96/Video-Interpolation-using-Optical-Flow

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.

zanazakaryaie/object_tracking

Object trackers you deserve!

mid2SUPAERO/EMTO

Efficient Multiscale Topology Optimization

ProGamerGov/Multiscale-Resolution-Scripts

zhang201882/MTF-CRNN

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.

Firdes/FFT-based-Homogenization

FFT-based Homogenization

flekschas/higlass-scalable-insets

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.

GhTara/Dose_Prediction

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

precice/micro-manager

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

ashkan-abbasi66/OCT-denoising-package

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.

lamm-mit/FieldPredictorGAN

Deep learning model to predict complex stress and strain fields in hierarchical composites

demianriccardi/p5-HackaMol

Object-Oriented Perl 5, Moose Library for Molecular Hacking

je-santos/ms_net

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.

antoine-jamin/py-msentropy

Multiscale Entropy with Python

filippo-masi/TANN-multiscale

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

GT-McDowell-Lab/PyCAC

The concurrent atomistic-continuum simulation environment

JuntaoHuang/multiscale-chemical-reaction

This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"

diehlpk/paperPUMPD

A Fracture Multiscale Model for Peridynamic enrichment within the Partition of Unity Method

JLnorthwestern/GO-MELT

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

vganjali/PCWA

A highly parallel and fast event detector based on CWT transform.