multiscale

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city-super /BungeeNeRF

Star577

[ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

city multiscale nerf neural-rendering

UpdatedSep 19, 2022
Python

nikdon /pyEntropy

Star346

Entropy for Python

python sample entropy numpy permutation multiscale

UpdatedMar 3, 2025
Python

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. 🤠

visualization open-source awesome multisite analysis mri enigma neuroimaging connectomics workflows multiscale straight-fire life-changing-magic

UpdatedApr 11, 2024
Python

benedekrozemberczki /walklets

Sponsor

Star105

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

machine-learning deep-learning word2vec deepwalk dimensionality-reduction gensim edge-prediction multiscale graph-mining embedding node2vec word-embedding graph-embedding node-classification graph-neural-networks node-embedding walklet graphlet dont-walk-skip graph-convolution

UpdatedMar 18, 2023
Python

SciML /MultiScaleArrays.jl

Sponsor

Star75

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

julia models automatic-differentiation ode dde differential-equations differentialequations sde dae multiscale neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai hybrid-differential-equations sciml

UpdatedNov 26, 2024
Julia

SINTEF-AppliedCompSci /MRST

Star73

Official GitHub repository for MRST - the MATLAB Reservoir Simulation Toolbox

automatic-differentiation finite-volume multiscale reservoir-simulation porous-media-flow compositional co2-sequestration blackoil

UpdatedMar 17, 2025
MATLAB

Droliven /MSRGCN

Star67

Official implementation of MSR-GCN (ICCV2021 paper)

frequency deep-learning pytorch multiscale deterministic discrete-cosine-transform gcn fourier-transform residuals human-motion-prediction iccv2021

UpdatedMay 22, 2023
Python

RagnarB83 /ash

Star67

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.

python dft quantum multiscale mm qm-mm qm

UpdatedMar 6, 2025
Python

mkang315 /CST-YOLO

Star62

[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

deep-neural-networks computer-vision deep-learning transformer yolo convolutional-neural-networks object-detection medical-image-computing multiscale medical-image-processing medical-image-analysis shufflenet small-object-detection blood-cell-detection complete-bloodcell-count swin-transformer medical-image-detection yolov7 blood-cell-detection-dataset blood-cell-counting-dataset

UpdatedJan 28, 2025
Python

fpicetti /occamypy

Star55

Python library for solving large-scale inverse problems

optimization multiscale optimization-algorithms optimization-algorithm-library cluster-computing

UpdatedAug 4, 2023
Jupyter Notebook

spatial-image /multiscale-spatial-image

Star42

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

python xarray scientific-computing multiscale imaging ngff ome-zarr-converter

UpdatedFeb 11, 2025
Python

SondreRokvam /Multiscale-Modeling

Star41

Multiscale Modeling

composite abaqus finite-element-analysis multiscale finite-element-methods microscale

UpdatedJun 4, 2019
Python

barahona-research-group /PyGenStability

Star35

PyGenStability: Multiscale community detection with generalized Markov Stability

clustering community-detection python3 multiscale louvain-algorithm leiden-algorithm

UpdatedMar 17, 2025
C++

ChenLiu-1996 /CUTS

Star34

[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation

python deep-learning pytorch medical-imaging image-segmentation unsupervised-learning multiscale semantic-segmentation miccai medical-image-segmentation self-supervised-learning unsupervised-deep-learning unsupervised-segmentation multiscale-segmentation miccai2024 miccai-2024

UpdatedJan 7, 2025
Python

vineeths96 /Video-Interpolation-using-Optical-Flow

Star33

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.

video deep-learning pytorch optical-flow multiscale horn-schunck lucas-kanade frame-interpolation