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

Entropy for 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. 🤠

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

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

Official implementation of MSR-GCN (ICCV2021 paper)

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.

Official GitHub mirror of MRST

Python library for solving large-scale inverse problems

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

Multiscale Modeling

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

PyGenStability: Multiscale community detection with generalized Markov Stability

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

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

Multigrid Neural Architecture

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

Object trackers you deserve!

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 back…