Projects in Awesome Lists tagged with expectation-maximization

https://github.com/je-suis-tm/machine-learning

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

batch-gradient-descent dbscan em-algorithm expectation-maximization expectation-maximization-algorithm factor-analysis independent-component-analysis k-nearest-neighbors lasso-regression latent-semantic-analysis linear-discriminant-analysis low-rank-approximation multinomial-naive-bayes naive-bayes newton-method ridge-regression sequential-minimal-optimization singular-value-decomposition stochastic-gradient-descent support-vector-machine

Last synced: 06 Nov 2024

https://github.com/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

crowdsourced-aggregation crowdsourcing expectation-maximization python sentiment-classification

Last synced: 30 Oct 2024

https://github.com/ajcr/em-explanation

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

expectation-maximization intuition statistics

Last synced: 05 Nov 2024

https://github.com/dmetivie/expectationmaximization.jl

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

clustering expectation-maximization gaussian-mixture-models julia mixture-models

Last synced: 09 Nov 2024

https://github.com/francois-rozet/diffusion-priors

Learning Diffusion Priors from Observations by Expectation Maximization

diffusion-model empirical-bayes expectation-maximization fastmri inverse-problems jax

Last synced: 28 Oct 2024

https://github.com/andreacasalino/gaussian-mixture-model

C++ library handling Gaussian Mixure Models

cpp eigen expectation-maximization gaussian gaussian-mixture-models training

Last synced: 07 Nov 2024

https://github.com/conradsnicta/armadillo-gmm

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

armadillo clustering clustering-algorithm cpp em-algorithm expectation-maximization gaussian-mixture-models gmm k-means k-means-clustering machine-learning mapreduce openmp statistics

Last synced: 24 Oct 2024

https://github.com/huajh/variational_bayesian_clusterings

variational Bayesian algorithm for Brain MR image Segmentation

bayesian-inference clustering expectation-maximization gmm image-segmentation laplacian matlab variational-bayes variational-bayesian-clusterings

Last synced: 11 Oct 2024

https://github.com/hahnec/optimizay

collection of numerical optimization methods

conjugate-gradient descent expectation-maximization gauss-newton gauss-newton-method gradient implementation ipynb levenberg-marquardt levenberg-marquardt-algorithm minimization minimization-algorithm newton newton-raphson newton-raphson-algorithm optimization optimization-algorithms root-finding root-finding-methods stochastic

Last synced: 11 Oct 2024

https://github.com/chrisvander/2048-expectimax

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

2048 2048-game ai ansi ascii bitboards expectation-maximization expectimax multithreading solvers

Last synced: 15 Oct 2024

https://github.com/rauhul/cs446

Machine Learning UIUC SP 2018

expectation-maximization gaussian-mixture-models generative-adversarial-network k-means linear-regression logistic-regression multiclass-classification neural-network q-learning svm variational-autoencoder

Last synced: 14 Oct 2024

https://github.com/danesherbs/expectation-maximisation-gmm

Implementation of EM algorithm for the Gaussian mixture model.

clustering expectation-maximization gaussian-mixture-model matlab

Last synced: 02 Nov 2024

https://github.com/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).

expectation expectation-maximization expectation-maximization-algorithm iterative-algorithm matlab non-parametric-estimation non-parametric-statistics poisson-distribution signalprocessing statistical-estimations statistics

Last synced: 24 Oct 2024

https://github.com/fitushar/brain-tissue-segmentation-using-expectation-maximization

Medical Image Segmentation and Applications (MISA) LAB task.

brain-tissue-segmentation dice expectation-maximization lab-task labtasks misa seg slice

Last synced: 08 Nov 2024

https://github.com/bharathsudharsan/tiny-impute

On-device Hybrid Anomaly Detection and Data Imputation

anamoly-detection arduino data-quality edge-computing esp32 expectation-maximization imputation-algorithm iot knn laplacian micro-python mkr1000 moving-average raspberry-pi simple-linear-regression tinyml

Last synced: 06 Nov 2024

https://github.com/sfp932705/expectation-maximization

Expectation Maximization (EM) in Python.

em expectation-maximization gaussians notebook python

Last synced: 12 Nov 2024