Alternatives and similar repositories for pyParticleEst

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

• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 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
• probml / pmtksupport
  Various packages used by PMTK.
  ☆55Updated 5 years ago
• johnhw / pfilter
  Basic Python particle filter
  ☆180Updated 2 years ago
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆134Updated 4 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated last month
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆140Updated 8 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆185Updated last year
• ChristophJud / GPR
  Basic Gaussian process regression library. (Eigen3 required)
  ☆25Updated 10 years ago
• lacerbi / optimviz
  Visualize optimization algorithms in MATLAB.
  ☆153Updated 3 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
  ☆185Updated 11 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆130Updated last year
• xuy / pyipopt
  A Python connector to IPOPT
  ☆209Updated 2 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• rlabbe / Python-for-Signal-Processing
  Notebooks for "Python for Signal Processing" book
  ☆97Updated 11 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆71Updated 3 years ago
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆59Updated last year
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated 2 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 3 years ago
• lawmurray / LibBi
  Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.
  ☆101Updated last year
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆112Updated last year
• aki-nishimura / NUTS-matlab
  ☆15Updated 8 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆13Updated 3 years ago
• yabata / pyrenn
  A Recurrent Neural Network Toolbox for Python and Matlab
  ☆101Updated 5 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆118Updated 3 weeks ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago