expectation-maximization | Topic

Topic: "expectation-maximization"

siavashk/pycpd

Pure Numpy Implementation of the Coherent Point Drift Algorithm

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Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

cambridge-mlg/DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

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m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Language: R - Size: 26.2 MB - Last synced at: 24 days ago - Pushed at: about 4 years ago - Stars: 67 - Forks: 18

Labo-Lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

Language: Python - Size: 469 KB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 66 - Forks: 4

soroosh-rz/Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

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pesoto/Text-Analysis

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Language: Jupyter Notebook - Size: 461 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 54 - Forks: 29

sukrutrao/Fast-Dawid-Skene

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

Language: Python - Size: 37.1 KB - Last synced at: 12 days ago - Pushed at: almost 3 years ago - Stars: 43 - Forks: 11

moucheng2017/EM-BPL-Semi-Seg

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Language: Python - Size: 4.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 39 - Forks: 1

ajcr/em-explanation

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

Language: Jupyter Notebook - Size: 305 KB - Last synced at: 17 days ago - Pushed at: about 6 years ago - Stars: 39 - Forks: 9

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

davpinto/ml-simulations

Animated Visualizations of Popular Machine Learning Algorithms

Language: R - Size: 31.3 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 33 - Forks: 4

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: 4 days ago - Pushed at: 30 days ago - Stars: 32 - Forks: 1

corradomonti/learnable-opinion-dynamics

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

Language: Python - Size: 3.48 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 7

GFNOrg/GFlowNet-EM

Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 27 - Forks: 3

andreacasalino/Gaussian-Mixture-Model

C++ library handling Gaussian Mixure Models

Language: C++ - Size: 1.76 MB - Last synced at: 11 days ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 1

Xinglab/CLAM

CLIP-seq Analysis of Multi-mapped reads

Language: Python - Size: 1.05 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 6

francois-rozet/diffusion-priors

Learning Diffusion Priors from Observations by Expectation Maximization

Language: Python - Size: 19.7 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 2

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

ali92hm/expectation-maximization

An implementation of the expectation maximization algorithm

Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 17 - Forks: 17

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

elifyilmaz2027/projects

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

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mgaynor1/nQuack

An R package for predicting ploidal level from sequence data using site-based heterozygosity

Language: C++ - Size: 26.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 12 - Forks: 0

kashefy/mi2notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin

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huajh/variational_bayesian_clusterings

variational Bayesian algorithm for Brain MR image Segmentation

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dennisfrancis/ClusterRows

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

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popolee0513/Data-Science-Skills-Practice

Language: Jupyter Notebook - Size: 284 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 6

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: 1 day ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4

navreeetkaur/bayesian-network-learning

Learning Bayesian Network parameters using Expectation-Maximisation

Language: Python - Size: 1.77 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 5

AndrasHartmann/son-em

SON-EM - Algorithm for parameter estimation of hybrid time-varying parameter systems using Sum of Norms regularization and Expectation Maximization

Language: Matlab - Size: 23.4 KB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 1

cambridge-mlg/arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 5

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

haplotype/ELAI

Efficient Local Ancestry Inference

Language: C++ - Size: 4.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

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

anindox8/Atlas-Based-3D-Brain-Segmentation-in-T1-MRI

Fully supervised, multi-class 3D brain segmentation in T1 MRI, using atlas-based segmentation algorithms (label propagation, tissue models, Expectation-Maximization algorithm).

Language: Batchfile - Size: 801 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 3

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

hahnec/optimizay

collection of numerical optimization methods

Language: HTML - Size: 32 MB - Last synced at: 15 days ago - Pushed at: 10 months ago - Stars: 6 - Forks: 4

ranarag/ZSCRGAN

Language: Python - Size: 681 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

chrisvander/2048-Expectimax

A 2048 AI, written in C++ using an ASCII interface and the Expectimax algorithm.

Language: C++ - Size: 13.7 KB - Last synced at: 9 days ago - Pushed at: about 3 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

jgmakin/rbmish

matlab code for exponential family harmoniums, RBMs, DBNs, and relata

Language: Matlab - Size: 952 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 4

gravesee/BMM

Bernoulli Mixture Models

Language: C - Size: 48.8 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

rauhul/cs446

Machine Learning UIUC SP 2018

Language: TeX - Size: 71.2 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 6

ys10/Grapheme-PhonemeAlignment

This project aims to implement a algorithm to do a grapheme-phoneme alignment task.

Language: Python - Size: 7.5 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

madlabunimib/MADBayes

MADBayes is a Python library about Bayesian Networks.

Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

ihmeuw-msca/CorrelatedCounts

Modeling correlated count data

Language: Python - Size: 1.7 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

1970633640/EM-algorithm-coin-toss-sample

an EM (Expectation-Maximization) Algorithm sample coin toss 机器学习EM算法例子抛硬币实验的程序实现

Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

lucach/fhmm_bach

Modelling Bach Chorales using Factorial Hidden Markov Models

Language: Python - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

RRafiee/Gaussian-mixture-modelling

Gaussian mixture modelling - Unsupervised learning

Language: R - Size: 8.19 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 2

zhuwei-ZJU/EM-for-BAYOMA

Bayesian operational modal analysis based on the expectation-maximization algorithm.

Language: MATLAB - Size: 10.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 2

jiaeyan/Machine-Learning-Plate

Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!

Language: Python - Size: 72.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

DhruvaKumar/gesture-recognition-hmm

Gesture recognition using Hidden Markov Models

Size: 4.78 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

phillity/Data-Mining-Machine-Learning

Data Mining and Machine Learning Algorithm Implementations

Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

gsfeir/GBM-LCCM

Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm

Language: Jupyter Notebook - Size: 151 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

brdav/ppca

EM algorithm for probabilistic PCA in Python

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

burkh4rt/Unsupervised-Multimodal-Trajectory-Modeling

We use EM for a mixture of state space models to perform unsupervised clustering of short trajectories.

Language: Python - Size: 668 KB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

vinayshanbhag/math

linear algebra,math concepts and applications

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manasikattel/misa

Brain tissue segmentation using several algorithms: EM, Atlas-based methods, nnunet

Language: Python - Size: 113 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

jyanqa/case-2022-causual-event

Codebase of the CASE@EMNLP 2022 paper: Causality Detection using Multiple Annotation Decision.

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FirstHandScientist/EM-GM

GenMM

Language: Python - Size: 55.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

sashakttripathi/ExMax-MixtureOfGaussians

Find Clusters of data using Expectation Maximization algorithm on mixture of gaussians

Language: Python - Size: 199 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

bcgov/ligo

Source repo for data linking application. Requires ligo-lib.

Language: Python - Size: 2.7 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

RishiDarkDevil/Image-Segmentation

Implementation of EM algorithm for Segmentation of Image.

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gbfredrik/BSc-Mathematics-Regime-Switching-Weather-Options

An Implementation of Markov Switching Models for Weather Derivative Pricing

Language: MATLAB - Size: 16.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

carlosloza/spindles-HMM

A new take on EEG sleep spindles detection exploiting a generative model (dynamic bayesian network) to characterize reoccurring dynamical regimes of single-channel EEG.

Language: MATLAB - Size: 109 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

shubhamag/expectation-maximization-gmm

Python code to fit Gaussian Mixture Models to data using expectation maximization

Language: Python - Size: 109 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

rahulptel/aobd17

Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 3

cdemutiis/EM_LEARNING

EM learning for a mixture of K multivariate Bernoullis with binary images

Language: Matlab - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 2

ShogunYash/My-Code-Space

This contains my course assignments of SEM 3

Language: Python - Size: 4.86 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

AUMC-HEMA/MSGMM

The multi-sample Gaussian mixture model (MSGMM) is a clustering model adapted to fitting multiple samples simultaneously using the EM algorithm.

Language: R - Size: 273 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

kapshaul/CT-medical-imaging

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

Language: MATLAB - Size: 5.99 MB - Last synced at: 24 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

fardinabbasi/Machine_Learning

Containing various ML projects, including image and text classification, clustering, regression, and neural networks. Projects include implementations of Random Forest, SVM, Decision Trees, EM algorithms, and advanced models like MLP and CNN, with datasets ranging from facial emotion detection to ECG signals and more.

Size: 23.4 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

RobinU434/TaskParameterizedGaussianMixtureModels

Implementation of Task-Parameterized-Gaussian-Mixture-Models as presented from S. Calinon in his paper: "A Tutorial on Task-Parameterized Movement Learning and Retrieval"

Language: Python - Size: 6.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

SoheilKhatibi/Image-Clustering

Image Clustering Algorithm implemented in C++

Language: C++ - Size: 489 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

kyomangold/ETH-MachineLearning

Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

Language: Python - Size: 568 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

techbrainwave/Unsupervised-Learning

Application of unsupervised learning and dimensionality reduction towards multiple problem sets.

Language: Python - Size: 275 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bharathsudharsan/Tiny-Impute

On-device Hybrid Anomaly Detection and Data Imputation

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

LGirrbach/EM-G2P-Aligner

Python implementation of the many-to-many aligner proposed by Jiampojamarn et al. (2007): Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion

Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sukrutrao/deepagg

Implementation of the model described in "Training deep neural nets to aggregate crowdsourced responses." by Gaunt et al.

Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

vmargonis/salinas_hsi_processing

Finding homogenous regions in the Salinas hyperspectral image

Language: MATLAB - Size: 14.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

TheReconPilot/gaussian-mixture-models

Gaussian Mixture Models (GMMs) with Expectation-Maximization and Gibbs Sampling

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jackyan540/cs181-homework5

Spring 2021 Machine Learning (CS 181) Homework 5

Language: Python - Size: 800 KB - Last synced at: 19 days ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Mainak1792/Backround_Subtraction

This is an approach towards reproducing the stauffer-grimson background Subtraction Paper, "Adaptive background mixture models for real-time tracking" published in 1999. A recreation of stauffer grimson background subtraction. One of the earliest and pioneering works that led to modern Computer Vision.

Language: Python - Size: 36.5 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0