Alternatives and similar repositories for pyParticleEst:

Users that are interested in pyParticleEst are comparing it to the libraries listed below

• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆32Updated 4 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆91Updated 3 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆81Updated 8 months ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆137Updated 7 years ago
• ChristophJud / GPR
  Basic Gaussian process regression library. (Eigen3 required)
  ☆25Updated 9 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆79Updated 7 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆54Updated 5 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆214Updated 6 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆68Updated 3 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆18Updated 5 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆79Updated last year
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆56Updated last year
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated last year
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• aki-nishimura / NUTS-matlab
  ☆15Updated 8 years ago
• mattjj / pyslds
  ☆94Updated 6 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• mebden / GPtutorial
  Matlab code for the introduction to Gaussian processes, 2008
  ☆30Updated 9 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆73Updated 7 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 3 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆43Updated 10 years ago
• AndyLamperski / pyN4SID
  A Python Implementation of the N4SID algorithm
  ☆30Updated 4 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆172Updated 2 years ago