ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 16,044 - Forks: 3,796

neka-nat/probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Language: Python - Size: 52.1 MB - Last synced at: about 17 hours ago - Pushed at: 12 months ago - Stars: 897 - Forks: 149

ldeecke/gmm-torch

Gaussian mixture models in PyTorch.

Language: Python - Size: 568 KB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 519 - Forks: 86

conradsnicta/armadillo-code

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

Size: 8.79 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 461 - Forks: 121

omerbsezer/Generative_Models_Tutorial_with_Demo 📦

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 335 - Forks: 41

cqcn1991/Wind-Speed-Analysis

An elegant probability model for the joint distribution of wind speed and direction.

Language: HTML - Size: 825 MB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 333 - Forks: 109

jayshah19949596/Machine-Learning-Models

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

Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 291 - Forks: 143

gionanide/Speech_Signal_Processing_and_Classification

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Language: Python - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 220 - Forks: 62

SuperKogito/Voice-based-gender-recognition

:sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

Language: Python - Size: 8.96 MB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 213 - Forks: 68

AlexanderFabisch/gmr

Gaussian Mixture Regression

Language: Python - Size: 1.09 MB - Last synced at: about 17 hours ago - Pushed at: 4 months ago - Stars: 188 - Forks: 49

borchero/pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Language: Python - Size: 683 KB - Last synced at: 10 days ago - Pushed at: 29 days ago - Stars: 125 - Forks: 13

Mayurji/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Language: Python - Size: 868 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 122 - Forks: 37

wentaoyuan/deepgmr

PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

Language: Python - Size: 615 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 120 - Forks: 14

jonasrothfuss/fishervector

Improved Fisher Vector Implementation- extracts Fisher Vector features from your data

Language: Python - Size: 18.6 KB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 102 - Forks: 32

Ransaka/GMM-from-scratch

The only guide you need to learn everything about GMM

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 99 - Forks: 15

sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 35

jobovy/extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

Language: Python - Size: 718 KB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 80 - Forks: 24

Xiaoyang-Rebecca/PatternRecognition_Matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Language: MATLAB - Size: 11.7 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 65 - Forks: 21

cgre-aachen/bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Language: Jupyter Notebook - Size: 65.4 MB - Last synced at: 12 days ago - Pushed at: almost 4 years ago - Stars: 63 - Forks: 15

applied-geodesy/jag3d

Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences

Language: Java - Size: 30.4 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 62 - Forks: 17

pedropro/OMG_Depth_Fusion

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

Language: C++ - Size: 214 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 17

jonghough/jlearn

Machine Learning Library, written in J

Language: J - Size: 9.53 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 13

bertini36/GMM

Variational Inference in Gaussian Mixture Model

Language: Python - Size: 98.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 16

Wei2624/AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Language: HTML - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 17

SuperKogito/Voice-based-speaker-identification

:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM

Language: Python - Size: 105 KB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 54 - Forks: 15

junlulocky/PyBGMM

Bayesian inference for Gaussian mixture model with some novel algorithms

Language: Python - Size: 937 KB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 54 - Forks: 16

Shikhargupta/Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

Language: Python - Size: 3.35 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 45 - Forks: 28

aakhundov/tf-example-models

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Language: Python - Size: 634 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 42 - Forks: 13

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 9

siavashk/GMM-FEM 📦

Biomechanically Constrained Point Cloud Registration Using Gaussian Mixture Models

Language: C++ - Size: 2.07 MB - Last synced at: 12 months ago - Pushed at: about 8 years ago - Stars: 39 - Forks: 14

mr-easy/GMM-EM-Python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 34 - Forks: 7

dmetivie/ExpectationMaximization.jl

A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.

Language: Julia - Size: 2.02 MB - Last synced at: 3 days ago - Pushed at: 29 days ago - Stars: 32 - Forks: 1

andreacasalino/Gaussian-Mixture-Model

C++ library handling Gaussian Mixure Models

Language: C++ - Size: 1.76 MB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 1

kpandey008/Road-detection-and-tracking

Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance

Language: C++ - Size: 24.6 MB - Last synced at: 9 months ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 7

alexandra-chron/hierarchical-domain-adaptation

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

Language: Python - Size: 5.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 3

yashv28/Color-Segmentation-using-GMM

Language: Python - Size: 82.9 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 23 - Forks: 7

HongJea-Park/robust_EM_for_gmm

MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961

Language: Python - Size: 10.6 MB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 4

meowoodie/Reinforcement-Learning-of-Spatio-Temporal-Point-Processes

A general framework for learning spatio-temporal point processes via reinforcement learning

Language: Python - Size: 16.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 6

kylesayrs/GMMPytorch

Pytorch implementation of same-family gaussian mixture models with guardrails. Features separable parameter optimization and singularity mitigation

Language: Python - Size: 595 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 21 - Forks: 1

leandrofgr/GaussianMixMCMC_Metropolis

Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

Language: MATLAB - Size: 1.64 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3

Magho/Fitting-Gaussian-Mixture-Models-with-EM

Implement the EM algorithm for a Gaussian mixture model and apply it to cluster images

Language: Jupyter Notebook - Size: 12 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 6

poyentung/sigma

Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)

Language: Jupyter Notebook - Size: 973 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4

icbcbicc/PyTorch_EPLL

PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.

Language: Python - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 0

Cheng-Lin-Li/MachineLearning

Implementations of machine learning algorithm by Python 3

Language: Jupyter Notebook - Size: 99.5 MB - Last synced at: 15 days ago - Pushed at: about 7 years ago - Stars: 17 - Forks: 11

DavidMercier/TriDiMap

Matlab functions to plot 2D and 3D maps from nanoindentation tests.

Language: MATLAB - Size: 112 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4

steverab/tensor-gmm

Implementation of learning a Gaussian mixture model using tensor decomposition.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 9 days ago - Pushed at: almost 8 years ago - Stars: 16 - Forks: 7

AEBilgrau/GMCM

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models

Language: R - Size: 25.7 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 3

JingweiToo/Machine-Learning-Toolbox

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

Language: MATLAB - Size: 97.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3

polyactis/Accucopy

Accucopy is a computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.

Language: C++ - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 4

AshwathSalimath/Anomaly-Detection-IoT

Anomaly Detection In An IoT-Acquired Environmental Sensor Data

Language: Python - Size: 6.12 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 3

is0383kk/Pytorch_VAE-GMM

Implementation of a model to make VAE and GMM train from each other

Language: Python - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 2

cgaueb/tgmm_sky_sampling

Sampling Clear Sky Models using Truncated Gaussian Mixtures

Language: C++ - Size: 217 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

joshwcheung/csci-567

My solutions for the USC course CSCI 567: Machine Learning

Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 9

ankiteciitkgp/keystrokeDynamics

Language: Python - Size: 1.07 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 12 - Forks: 5

dennisfrancis/ClusterRows

A LibreOffice Calc extension that clusters the rows in a table and colors them to indicate the clusters.

Language: C++ - Size: 2.3 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 11 - Forks: 1

conradsnicta/armadillo-gmm

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

Language: C++ - Size: 1000 Bytes - Last synced at: about 16 hours ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4

saniikakulkarni/Gaussian-Mixture-Model-from-scratch

Implementing Gaussian Mixture Model from scratch using python class and Expectation Maximization algorithm. It is a clustering algorithm having certain advantages over kmeans algorithm.

Language: Jupyter Notebook - Size: 415 KB - Last synced at: 15 days ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 9

SinaMirrazavi/SESODS_lib

Learning second order dynamical system

Language: MATLAB - Size: 46.8 MB - Last synced at: 5 days ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 1

pavancm/Stitched-Image-Quality-Evaluator

Official implementation of Stitched Image Quality evaluator (SIQE)

Language: MATLAB - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 3

so-wise/so-fronts

Full scripts to generate figures for "Defining Southern Ocean fronts using unsupervised classification" https://doi.org/10.5194/os-17-1545-2021

Language: Python - Size: 519 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 9 - Forks: 2

benediktfesl/Quantized_Channel_Estimation

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".

Language: Python - Size: 66.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 3

pmadruga/ml_project

Machine Learning Techniques applied to Heart Rate Variability

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

vincent27hugh/Cluster-Kmeans-EMGMM-PCA

Wine Types Clustering using K-Means, EM-GMM and PCA

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 4

guyuchao/Grabcut

My implementation of 《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》

Language: Python - Size: 4.77 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 2

SimoneAlbertini/GMM-Clustering

Gaussian Mixture Model clustering using OpenCv Expectation Maximization implementation

Language: Makefile - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 5

applied-geodesy/bundle-adjustment

Bundle Adjustment for Close-Range Photogrammetry

Language: HTML - Size: 2.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 5

juliennonin/variational-gaussian-mixture

Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]

Language: Python - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 2

hbahadirsahin/gmvae

Language: Python - Size: 2.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 7

arnab39/Machine-Learning-Codes

Python implementation of basic machine learning algorithms

Language: Python - Size: 58.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 8

aryaman-gupta/Human-Action-Recognition

Code for skeletal based Human Action Recognition, done as part of my Master's thesis

Language: Matlab - Size: 44.9 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 3

Keefe-Murphy/MoEClust

Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates

Language: R - Size: 1.67 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

giorgioroffo/bayes-classifier-with-GMM

Bayes Classifier with Gaussian Mixture Models to generate handwritten images

Language: Python - Size: 4.88 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0

benediktfesl/GMM_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Gaussian Mixture Models (GMMs).

Language: Python - Size: 71.3 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2

parham1998/Kernel-Density-Estimation

Implementation of Kernel-Density-Estimation (KDE) with Matlab

Language: MATLAB - Size: 668 KB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

hrshtv/HMRF-GMM-EM-Segmentation

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.)

Language: MATLAB - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1

rogertrullo/Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 9

bit-bots/particle_filter

A lightweight particle filter library for the ROS context.

Language: C++ - Size: 166 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 6 - Forks: 5

insdout/GMVAE-pytorch

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Language: Python - Size: 5.27 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 0

sidharth178/Mall-Customers-Segmentation

This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2

fazanham/ExpectationMaximization

A class for unsupervised classification using Expectation Maximization

Language: C++ - Size: 162 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 3

TTitcombe/Python-Machine-Learning-Models

Barebones Python implementations of machine learning models, without using machine learning libraries

Language: Python - Size: 9.28 MB - Last synced at: 11 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1

compops/barx-sysid2018

Sparse Bayesian ARX models with flexible noise distributions

Language: R - Size: 9.31 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 2

rbaygildin/brain-tumor-segmentation

Brain tumor (low-grade and high-grade glioma) segmentation using unsupervised methods

Language: Jupyter Notebook - Size: 958 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 2

dieterich-lab/ASyH

The Anonymous Synthesizer for Health Data

Language: Python - Size: 569 KB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 1

AbbasPak/Clustering-Methods-Examples

This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

AISoltani/Clustering-in-Python Fork of sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

hahnec/multimodal_emg

Multimodal Exponentially Modified Gaussians with Optional Oscillation

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

tomasmikeska/speaker-identification

Automatic speaker identification with Gaussian Mixture Model.

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 2

aminrashidbeigi/gaussians-streaming-data

Implementation of "Learning Mixture of Gaussians with Streaming Data" paper

Size: 52.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

kailugaji/Gaussian_Mixture_Model_for_Clustering

Gaussian Mixture Model for Clustering

Language: MATLAB - Size: 228 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 4

jiwidi/gmm-classifier

Python implementation for a Gaussian mixture model classifier!

Language: Python - Size: 313 KB - Last synced at: 3 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 0

SinaMirrazavi-sony/LPV

C++ implementation of GMM based LPV systems

Language: C++ - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 3

rauhul/cs446

Machine Learning UIUC SP 2018

Language: TeX - Size: 71.2 MB - Last synced at: 29 days ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 6

lmego/customer_segments

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

Language: HTML - Size: 811 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 6

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

is0383kk/SymbolEmergence-VAE-GMM

Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model (Inter-GMM-VAE)~VAEを活用した実画像からの記号創発~

Language: Python - Size: 525 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 3

mx-ethan-rao/deepmetabin

A graph-based Gaussian Mixture Variational Autoencoder improves metagenome binning for short contigs

Language: Python - Size: 5.46 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

JulesFrancoise/xmmjs

A Javascript port of the XMM Library

Language: JavaScript - Size: 2.83 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

FordyceLab/MRBLEs

Decoding and analysis software for MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding).

Language: Python - Size: 273 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

GustavoHFMO/GMM-VRD

Algorithms proposed in the following paper: Oliveira, Gustavo HFM, Leandro L. Minku, and Adriano LI Oliveira. "GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts." 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019.

Language: Python - Size: 1.85 MB - Last synced at: 15 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2