Alternatives and similar repositories for GMM-EM-Python

Users that are interested in GMM-EM-Python are comparing it to the libraries listed below

• Ransaka / GMM-from-scratch
  The only guide you need to learn everything about GMM
  ☆129Updated 10 months ago
• lopatovsky / HMMs
  Continuous-time Hidden Markov Model
  ☆102Updated last year
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆48Updated 5 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆81Updated last year
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆156Updated 7 years ago
• shubhamjha97 / hierarchical-clustering
  A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dat…
  ☆85Updated 4 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆23Updated 5 years ago
• jamesross2 / Bayesian-HMM
  A non-parametric Bayesian approach to Hidden Markov Models
  ☆87Updated 2 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆89Updated 6 years ago
• jwangjie / Gaussian-Process-Regression-Tutorial
  An Intuitive Tutorial to Gaussian Processes Regression
  ☆646Updated last year
• AlexanderFabisch / gmr
  Gaussian Mixture Regression
  ☆195Updated last month
• adeveloperdiary / HiddenMarkovModel
  Code for the Hidden Markov Model Tutorial Series
  ☆87Updated last year
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆95Updated 5 years ago
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆247Updated 2 years ago
• drewwilimitis / Manifold-Learning
  Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…
  ☆239Updated 5 years ago
• yangysc / Wavelet-HFCM
  This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…
  ☆55Updated 3 years ago
• Ulti-Dreisteine / gaussian-process-regression
  高斯过程回归
  ☆84Updated 3 years ago
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆20Updated 9 months ago
• jvkersch / hsmmlearn
  A library for hidden semi-Markov models with explicit durations
  ☆85Updated 4 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated 2 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆60Updated last year
• luiscarlosgph / t-Student-Mixture-Models
  Implementation of the paper: 'Robust mixture modelling using the t distribution', D. Peel and G. J. McLachlan.
  ☆30Updated last year
• french-paragon / BayesianMnist
  A hello world Bayesian Neural Network project on MNIST
  ☆47Updated 3 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆60Updated 4 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆171Updated last year
• M-Soundouss / CopulaConformalMTR
  Code for paper "Copula-based conformal prediction for Multi-Target Regression"
  ☆34Updated 4 years ago
• joshloyal / L1-Trend-Filtering
  This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…
  ☆21Updated 7 years ago
• epfl-lasa / changepoint-detection
  Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.
  ☆48Updated 8 years ago
• VBayesLab / VBLab
  Official documentation
  ☆30Updated 4 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆145Updated last year