boundedmixturemodel Goto Github PK

autoencoderpca

compare PCA/autoencoder/convolutional autoencoder algorithm

backgroundsubtraction

Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".

cnn-automated-feature-extraction

This repository consists code for the feature creation from structured data using CNN technique, along with input data and output data

concordia-gina-cody-encs-thesis-template

An updated LaTeX thesis template for the Gina Cody school of ENCS at Concordia University + EPS logos

concordia-university-latex-presentation-template

LateX Beamer Presentation Template for Concordia University, Montreal

feature_extraction

gaussian_mixture_model

implement gaussian mixture model by using em algorithm in python, later working on gibbs sampling etc MCMC algorithm.

hmm_activity_recognition

Human activity recognition with HMMs

iagm

Infinite Asymmetric Gaussian Mixture Model

iagm_bs

Background subtraction algorithm by Infinite Aysmmetrical Gaussian Mixture Model (IAGMM)

iagm_feature_selection

Infinite Asymmetric Gaussian Mixture with feature selection. Adopt MCMC to do Bayesian inference.

igmm

infinite Gaussian Mixture Model(Dirichlet Process Gaussian Mixture Model) by gibbs sampling. Multivaraite Gaussian with full covariance and diagonal covariance.

latex-thesis-template-for-concordia-university-students

A LaTex thesis template and style for ENCS graduate student from Concordia University

machinelearning

Algorithms of machine learning or deep learning

motion-sense

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

openhaystack

Build your own 'AirTags' 🏷 today! Framework for tracking personal Bluetooth devices via Apple's massive Find My network.

pyfm

Factorization machines in python

simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.