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gtm-generativetopographicmapping

GTM (Generative Topographic Mapping)

guided-missile-modeling-simulation

Guided Missile, Radar and Infrared EOS Simulation Framework written in C++.

guitarra

Image simulator for the Near Infrared Camera of the James Webb Space Telescope

ilios-3d-model-generation

This will be an image based reconstruction model for generating 3D volume approximations from 2D monocular image feeds.

imaging-system-3d-noise-

This is a python implementation of the 3D noise model originally used by Center for Night Vision and Electro-Optics to analyze spatio-temporal noise components in imaging systems.

isetcam

Open source version of the original ISET, a complement to ISETBIO

jurassic

The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

latin_hypercube_sampling

Latin Hypercube Sampling is a method for generating random samples of parameters and is frequently used in Monte Carlo simulation.

latinhypercubesampling

An example of using a Latin hypercube to search a hyperparamter space.

lhsmdu

This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

matlab-modtran-5

Matlab Function Wrapper for MODTRAN 5

nn_vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

non-subsampled_shearlet_transform

NSST - Non-Subsampled Shearlet Transform

nsct

翻译自网上找到的一段matlab程序，原作者不详

nsst-papcnn-fusion

NSST-PAPCNN-Fusion

optics-and-systems

optimal_latin_hypercubes

This project is about implementing Park's (1994) algorithm for Optimal Latin Hypercube sampling in a python function.

pais-mvs

Multi-view stereo image-based 3D reconstruction

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pygrnn

Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided

pyimgsaliency

A python toolbox for computing image saliency

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

pyradi

a Python toolkit to perform optical and infrared computational radiometry

pysaliency

Python Framework for Saliency Modeling and Evaluation

pyshearlab

pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.

pyshearlets

2D Fast Finite Shearlet Transforms (FFST)

salient-object-detection

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

scribble_saliency

Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020

sequential_optical_system_simulation

sicgan

Single Image 3D Reconstruction based on Conditional GAN