YosanChan's repositories
active-contours
edge based segmentation and application - midterm computer vision
Image-and-video-processing-From-Mars-to-Hollywood-with-a-stop-at-the-hospital
This is the Image Processing course from Duke University by Guillermo Sapiro. I've included all quiz and assignment questions. I don't have my assignments in order. I've taken it from someone else and I really don't remember who that is. Whoever it is - Thanks a lot for keeping it so clean. Intention here is to only help those who are interested to
Analytical_Min_Size
Codes relating the minimum size to the filter and projection parameters of the robust formulation
angler
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
BerkeleyPhotonicInverseDesign
Continuous Adjoint Optimization with Lumerical, developed at UC Berkeley
bspline-yang
bspline B样条实现bilibili
ceviche-challenges
A suite of photonic inverse design challenge problems for topology optimization benchmarking
conditional-GAN
Pytorch implementation of Conditional-GAN (CGAN)
edge-detectors
Image processing edge detection algorithms in Python.
gds2ascii-tool-project
GDS to ASCII Converter
Geodesic-Active-Contours-using-MATLAB
Level-set image Segmentation
Geodesic_Active_Contours
Image segmentation with Geodesic Active Contours
GLOnet
Global optimization based on generative neural networks
legume
🌱 Guided-mode expansion of photonic crystal slabs
level-set-methods-toolbox
A modified version of the level-set-methods-toolbox developed by Ian M. Mitchell
Localized_ERAC
Code for paper "Localised edge‐region‐based active contour for medical image segmentation"
lumos
optimized nanophotonic structures
matlab-lbfgs
Pure matlab implementation of L-BFGS
MatlabGDSPhotonicsToolbox
This is a Matlab library of functions to facilitate the design of Photonics Integrated Circuits GDS layout.
maxwell-b
Multi-GPU FDFD solver
multiobjective
Simulation code for “Multi-Objective Signal Processing Optimization: The Way to Balance Conflicting Metrics in 5G Systems” by Emil Björnson, Eduard Jorswieck, Mérouane Debbah, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 14-23, November 2014.
outline
The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.
Simple-GAN-Base-on-Matlab
simple Generative Adversarial Networks base on matlab
spins-b
Photonic optimization library