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[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. 🤠
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".
Official implementation of MSR-GCN (ICCV2021 paper)
Python library for solving large-scale inverse problems
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
Multiscale Modeling
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
PyGenStability: Multiscale community detection with generalized Markov Stability
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
Deep learning model to predict complex stress and strain fields in hierarchical composites
