gaussian-mixture-models topic
Pytorch_VAE-GMM
Implementation of a model to make VAE and GMM train from each other
tf-example-models
TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
GMM-from-scratch
The only guide you need to learn everything about GMM
GaussianMixMCMC_Metropolis
Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
sigma
Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)
PyTorch_EPLL
PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.
robust_EM_for_gmm
MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961
tensor-gmm
Implementation of learning a Gaussian mixture model using tensor decomposition.
Reinforcement-Learning-of-Spatio-Temporal-Point-Processes
A general framework for learning spatio-temporal point processes via reinforcement learning
jag3d
Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences