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
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆140Updated 8 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 4 years ago
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆134Updated 4 years ago
• SheffieldML / GPc
  Gaussian process code in C++ including some implementations of GP-LVM and IVM.
  ☆70Updated 3 years ago
• xuy / pyipopt
  A Python connector to IPOPT
  ☆209Updated 2 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
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆59Updated last year
• ChristophJud / GPR
  Basic Gaussian process regression library. (Eigen3 required)
  ☆25Updated 9 years ago
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated 2 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆129Updated last year
• alnurali / cvxstoc
  Disciplined convex stochastic programming. For the cvxstoc home page, please see:
  ☆32Updated 4 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
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆216Updated 6 years ago
• johnhw / pfilter
  Basic Python particle filter
  ☆179Updated 2 years ago
• yunjhongwu / Sticky-HDPHMM-demo
  Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
  ☆48Updated 8 years ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆71Updated 6 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆48Updated 4 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• sods / paramz
  Parameterization Framework for parameterized model creation and handling.
  ☆49Updated 2 weeks ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 3 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year
• probml / pmtksupport
  Various packages used by PMTK.
  ☆55Updated 5 years ago
• yabata / pyrenn
  A Recurrent Neural Network Toolbox for Python and Matlab
  ☆101Updated 5 years ago
• sisl / AA120Q
  AA120Q Course Materials
  ☆29Updated 5 months ago
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago