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
  ☆33Updated 5 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆84Updated 2 years ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆186Updated 11 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆139Updated 8 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆134Updated 4 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆216Updated 6 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• ChristophJud / GPR
  Basic Gaussian process regression library. (Eigen3 required)
  ☆26Updated 10 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 3 months ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• mebden / GPtutorial
  Matlab code for the introduction to Gaussian processes, 2008
  ☆30Updated 10 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆34Updated 8 years ago
• johnhw / pfilter
  Basic Python particle filter
  ☆179Updated 2 years ago
• lacerbi / optimviz
  Visualize optimization algorithms in MATLAB.
  ☆154Updated 3 years ago
• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆175Updated 2 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆71Updated 4 years ago
• yabata / pyrenn
  A Recurrent Neural Network Toolbox for Python and Matlab
  ☆102Updated 5 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆54Updated 6 years ago
• trevorcampbell / dynamic-means
  A clustering library for large/temporally evolving datasets
  ☆48Updated 7 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆186Updated 2 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆115Updated 12 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆116Updated 3 weeks ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆60Updated last year
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆133Updated this week