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gaussian-mixture-models

Here are 156 public repositories matching this topic...

ddbourgin / numpy-ml

Machine learning, in numpy

machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing

Updated Oct 29, 2023
Python

neka-nat / probreg

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

point-cloud registration gaussian-mixture-models expectation-maximization-algorithm variational-inference 3d dual-quaternion point-cloud-registration open3d coherent-point-drift non-rigid-registration rigid-transformations filterreg dual-quaternion-skinning

Updated May 11, 2024
Python

ldeecke / gmm-torch

Gaussian mixture models in PyTorch.

pytorch gaussian-mixture-models

Updated Jul 15, 2023
Python

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…

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

🔉 👦 👧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

Gaussian Mixture Regression

python machine-learning regression gaussian-mixture-models

Updated May 21, 2024
Python

wentaoyuan / deepgmr

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

MLWithPytorch

Mayurji / MLWithPytorch

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

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

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

Updated Oct 28, 2024
Python

jonasrothfuss / fishervector

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

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

Updated Jun 17, 2024
Python

jobovy / extreme-deconvolution

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 Oct 15, 2024
Python

bertini36 / GMM

Variational Inference in Gaussian Mixture Model

machine-learning tensorflow gaussian-mixture-models probabilistic-programming gradient-descent edward probabilistic-models coordinate-descent

Updated Oct 29, 2020
Python

junlulocky / PyBGMM

Bayesian inference for Gaussian mixture model with some novel algorithms

machine-learning gaussian-mixture-models bayesian-inference mixture-model mcmc-sampler crp pcrp finite-mixture infinite-mixture subcrp

Updated May 28, 2018
Python

SuperKogito / Voice-based-speaker-identification

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

machine-learning scikit-learn voice speech gaussian-mixture-models signal gmm mfcc speaker-recognition vocal mel-frequencies speaker-identification mel-frequency-cepstral-coefficients scikit-learn-python

Updated Dec 13, 2020
Python

Shikhargupta / Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

python machine-learning gaussian-mixture-models image-segmentation character-recognition bayesian-classifiers principal-component-analysis facial-reconstruction

Updated Oct 31, 2016
Python

zhaoyichanghong / machine_learing_algo_python

implement the machine learning algorithms by python for studying

machine-learning deep-learning neural-network linear-regression collaborative-filtering gaussian-mixture-models gbdt logistic-regression tf-idf kmeans adaboost support-vector-machines decision-tree principal-component-analysis linear-discriminant-analysis spectral-clustering isolation-forest k-nearest-neighbor rbf-network gaussian-discriminant-analysis

Updated Oct 24, 2019
Python

aakhundov / tf-example-models

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

machine-learning neural-network tensorflow cnn gaussian-mixture-models logistic-regression k-means

Updated May 31, 2018
Python

yashv28 / Color-Segmentation-using-GMM

expectation-maximization gaussian-mixture-models color-segmentation

Updated Mar 8, 2018
Python

alexandra-chron / hierarchical-domain-adaptation

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

nlp clustering pytorch gaussian-mixture-models adapters domain-adaptation pretrained-language-model

Updated Sep 26, 2023
Python

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

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

python machine-learning reinforcement-learning tensorflow gaussian-mixture-models point-process spatio-temporal spatio-temporal-modeling heterogeneous-gaussian-mixture

Updated Jan 6, 2021
Python

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