There are 3 repositories under em topic.
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Vagrant Builds
Visualize, share and annotate your large 3D images online
color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.
TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)
Px to rem calculator (electron) app
Implemented Gaussian Mixture Models (GMM) for image color segmentation.
Sass Collection of mixins & functions. Easily convert pixel to rem or em, create dynamic CSS custom property, add breakpoints, change text direction, strip unit from any value and more!
Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/
Emlang is a experiement syntax parser/typechecker written in V. Impliments a pratt parser and uses a typecheking system which allows union and intersection types.
[MICCAI 2022] Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation
EN: Gaussian Mixture Model for Image Segmentation || FR: mélange gaussien pour la segmenation d'image
A collection of awesome resources regarding Record Linkage.
Gaussian mixture modelling - Unsupervised learning
Unsupervised clustering of sequences of arbitrary length using mixture of discrete-state markov models.
Providing work samples of electromagnetic, RF, antenna, and radar system analysis that I performed for graduate school assignments.
helper scripts for Electron microscopy data processing
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
😮🤔🤨Este repositorio é um repositorio de estudo em phyton😍🥰. que eu realizo estudo de forma independente!! link da fonte: https://youtube.com/playlist?list=PLt7yD2z4olT--vM2fOFTgsn2vOsxHE5LX
Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
The course of machine learning I take in XJTU, 2018 spring, guided by Prof Deyu Meng
I built a responsive website and turned this desktop only-page into an adaptive mobile and desktop website, which looks good on all devices.
HƯỚNG DẪN LẤY SỐ BHYT CHO TRẺ EM CHƯA CÓ THẺ và TRA CỨU THỜI HẠN SỬ DỤNG THẺ BHYT
:medal_sports: Discord bot that transforms Medal.tv embeds into direct .mp4 files
A matlab tool that analytically calculates the transient Electromigration (EM) stress at discrete spatial points in multi-segment lines of power grids.
♻️ HW2 of Intelligent Information Retrieval MSc Course ECE@UT