#Gaussian-mixture-models

Showing 9 of 9 repositories tagged #gaussian-mixture-models, ranked by stars

ddbourgin
ddbourgin
numpy-ml

Machine learning, in numpy

Score
100
★ 16.3k ⑂ 3.8k
Python
neka-nat
neka-nat
probreg

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

Score
0
★ 986 ⑂ 154
Python
jayshah19949596
jayshah19949596
Machine-Learning-Models

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

Score
67
★ 377 ⑂ 140 +1/day
Matlab
SuperKogito
SuperKogito
Voice-based-gender-recognition

:sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

Score
100
★ 221 ⑂ 65
Python
jobovy
jobovy
extreme-deconvolution

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

Score
100
★ 84 ⑂ 23
Python
mr-easy
mr-easy
GMM-EM-Python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

Score
0
★ 83 ⑂ 14
Jupyter Notebook
zhaoyichanghong
zhaoyichanghong
machine_learing_algo_python

implement the machine learning algorithms by python for studying

Score
33
★ 49 ⑂ 20
Python
aakhundov
aakhundov
tf-example-models

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

Score
0
★ 43 ⑂ 13
Python
is0383kk
is0383kk
Pytorch_VAE-GMM

Implementation of mutual learning model between VAE and GMM.

Score
0
★ 29 ⑂ 1
Python
Related Topics
#machine-learning#logistic-regression#neural-network#knn#mfcc#vae#expectation-maximization-algorithm#kmeans#linear-regression#machine-learning-algorithms#principal-component-analysis#gmm

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