westail,github

hotlab

Software package for holographic optical trapping (HOT) released under GPL and LGPL. Requires a CUDA compatible GPU and LabVIEW

ipercore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

mathematical-model-implementation

MATLAB code for classic mathematical modeling.

matlabcstapiwithhislist

matlab-cst api 使用history写入

metasurfaces_manitude_phase_control

做了几种经典的有源和无源的超表面单元和超表面阵列，用到的软件有：MATLAB、CST

mie_theory

Plots the Electromagnetic Field around spherical nanoparticles of different sizes and materials

multi-beam-interference

A Jupyter notebook for simple calculation of multiple beam interference profile where all the interfering beams are incident in an umbrella geometry!

nndl.github.io

《神经网络与深度学习》邱锡鹏著 Neural Network and Deep Learning

openabm-covid19

OpenABM-Covid19: an agent-based model for modelling the spread of SARS-CoV-2 (coronavirus) and control interventions for the Covid-19 epidemic

opencv

Open Source Computer Vision Library

optical-lattice

Calculates interference patterns for N beams.

painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

phase-recovery

Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

phasepack-matlab

A software library for solving phase retrieval problems, and comparing phase retrieval methods.

phase_revocery

相位恢复算法相关的几种算法，包括角谱迭代算法，GS算法，TTIE强度方程恢复算法，以及算法的结合。

pyro-cov

Pyro models of SARS-CoV-2 variants

python

All Algorithms implemented in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

$refractiveindex.info-database icon$ refractiveindex.info-database

Database of optical constants

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.