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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..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan

Updated Jan 21, 2019
Jupyter Notebook

jayshah19949596 / Machine-Learning-Models

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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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

gionanide / Speech_Signal_Processing_and_Classification

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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…

nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance

Updated Mar 3, 2023
Python

SuperKogito / Voice-based-gender-recognition

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🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

data-science machine-learning scikit-learn voice speech gaussian-mixture-models signal gender-recognition gender gmm mfcc speaker gender-classification vocal gender-recognition-by-voice gender-detection mel-frequencies scikit-learn-python

Updated Jul 6, 2023
Python

AlexanderFabisch / gmr

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Gaussian Mixture Regression

python machine-learning regression gaussian-mixture-models

Updated May 8, 2023
Python

wentaoyuan / deepgmr

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

gaussian-mixture-models point-cloud-registration 3d-computer-vision

Updated Nov 23, 2020
Python

Mayurji / MLWithPytorch

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

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

Updated Dec 15, 2021
Python

borchero / pycave

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

markov-model machine-learning pytorch gaussian-mixture-models kmeans pytorch-lightning

Updated Apr 29, 2024
Python

jonasrothfuss / fishervector

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

machine-learning computer-vision gaussian-mixture-models fisher-vectors

Updated Jun 21, 2022
Python

sandipanpaul21 / Clustering-in-Python

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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.

python clustering gaussian-mixture-models clustering-algorithm dbscan kmeans-clustering clustering-evaluation hierarchical-models hierarchical-clustering dbscan-clustering kmeans-algorithm clustering-coefficient clustering-validation clustering-methods dendogram dbscan-algorithm kmeans-analysis dbscan-clusters dbscan-clustering-algorithm k-mode

Updated Dec 9, 2021
Jupyter Notebook

jobovy / extreme-deconvolution

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

python c machine-learning uncertainty gaussian-mixture-models density-estimation

Updated Feb 5, 2024
Python

Xiaoyang-Rebecca / PatternRecognition_Matlab

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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…

svm pca gaussian-mixture-models pattern-recognition lda gmm kpca