72 skills found · Page 2 of 3
gisalgs / Optimization:bulb: Python code for spatial optimization problems.
zhiyuan0112 / Hyperspectral ImagingJoint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction, IEEE-JSTSP (2022).
PhilJd / Generalize Spatial RelationsCode for the paper "Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning" (ICRA 2018)
MICV-yonsei / STORM[CVPR 2025] Official Pytorch Code for Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis
ZehuaCao25 / A Land Use Spatial Optimization Model Based On NSGA IIINo description available
nlesc-dirac / SagecalSAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
zohourih / Diffusion FPGAHighly-optimized spatially and temporally-blocked implementation of Diffusion 2D and 3D stencils for Intel FPGAs using OpenCL
kazukihayashi / AssemblySequenceOptimizationData corresponding to the paper "Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning"
ClimBin / SFIRThe official implementation code for the paper "SFIR: Optimizing Spatial and Frequency Domains for Image Restoration"
andrecedras / Spatial OptimizationThis notebook illustrates the use of the Google Maps API to determine the optimum route given a list of addresses
apperception-db / SpatialyzeSpatialyze: A Geospatial Video Analytic System with Spatial-Aware Optimizations
CarlosUPC / Spatial Partitioning QuadtreeSpatial ordering optimization: Quadtree
Laboratorio-de-Pedometria / Spsann PackageOptimization of Spatial Samples via Simulated Annealing
xinqiao123 / MSNATMulti-scale Neighborhood Attention Transformer with Optimized Spatial Pattern for Hyperspectral Image Classification.
arogi / Arogi DemosA web-accessible spatial optimization showcase from your pals at Arogi. See it in action at: http://arogi.net
Elan456 / PyquadtreeA highly optimized, lightweight, pure Python quadtree implementation for efficient spatial data organization and fast querying. Useful for 2D spatial indexing, collision detection, and dynamic data visualization
Nuiter / Seurigiotto Benchmark FrameworkOptimized pipelines for Spatial Transcriptomics (ST) data analysis using Seurat & Giotto, designed for reproducible benchmarking and biological insight.
hoyiwan / FastfocalFast and flexible moving window and buffer-based raster extraction at user-defined spatial scales. Supports various focal statistics and multi-scale extraction using vector data. Compatible with terra and sf classes, and optimized for performance with FTT.
MuonRay / Image Denoising With ROF AlgorithmThe total variation denoising method, proposed by Rudin, Osher and Fatermi, circa 1992, is a PDE-based algorithm for edge-preserving noise removal. The ROF denoising algorithm is based on the partial differential of total variation of an image such that by finding a good appoximation of the local minima of the PD of the total variation value we can find that the total noise in the image will also be in a local minima. Unlike a conventional low-pass filter, TV denoising is defined in terms of an optimization problem. In effect the output of the TV denoising 'filter' is obtained by minimizing a particular bounded cost function. Total variation itself is a measure of the complexity of an image with respect to its spatial variation, usually an integral of the greyscale gradient across the rectangular image domain.
petermchale / TumorA spatial Markov model of agents making decisions based upon their surroundings. Stochastic optimization via Markov Chain Monte Carlo (Metropolis-Hastings algorithm). Interactive visualization of data using the JavaScript library D3.
