gaussian-mixture-models
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Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
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Sep 12, 2025 - Python
Armadillo: fast C++ library for linear algebra & scientific computing -https://arma.sourceforge.net
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Oct 23, 2025
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
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May 15, 2017 - MATLAB
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..
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Jan 21, 2019 - Jupyter Notebook
An elegant probability model for the joint distribution of wind speed and direction.
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Jan 13, 2018 - HTML
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…
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Mar 3, 2023 - Python
🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)
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Jul 6, 2023 - Python
Gaussian Mixture Regression
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Aug 13, 2025 - Python
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
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Nov 23, 2020 - 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.
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Aug 7, 2024 - Jupyter Notebook
The only guide you need to learn everything about GMM
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Dec 4, 2024 - Jupyter Notebook
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
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Dec 15, 2021 - Python
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
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Oct 20, 2025 - Python
Improved Fisher Vector Implementation- extracts Fisher Vector features from your data
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Jun 17, 2024 - Python
Python implementation of EM algorithm for GMM. And visualization for 2D case.
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Apr 24, 2023 - Jupyter Notebook
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
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Sep 8, 2025 - Python
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 clas…
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Jun 23, 2021 - MATLAB
Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences
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Nov 2, 2025 - Java
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