Alternatives and similar repositories for pfilter

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

• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• jelfring / particle-filter-tutorial
  ☆133Updated 7 months ago
• pykalman / pykalman
  Kalman Filter, Smoother, and EM Algorithm for Python
  ☆1,194Updated 3 months ago
• nchopin / particles
  Sequential Monte Carlo in python
  ☆458Updated 2 weeks ago
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆92Updated 4 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 last year
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆59Updated last year
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 6 years ago
• zziz / kalman-filter
  Kalman Filter implementation in Python using Numpy only in 30 lines.
  ☆386Updated 2 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆79Updated 11 months ago
• oseiskar / simdkalman
  Python Kalman filters vectorized as Single Instruction, Multiple Data
  ☆187Updated last year
• milsto / robust-kalman
  Robust Kalman filter with adaptive noise statistics estimation.
  ☆139Updated 6 years ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆188Updated 4 years ago
• CAOR-MINES-ParisTech / ukfm
  Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)
  ☆231Updated 3 years ago
• rlabbe / Python-for-Signal-Processing
  Notebooks for "Python for Signal Processing" book
  ☆97Updated 11 years ago
• mithi / particle-filter-prototype
  Particle Filter Implementations in Python and C++, with lecture notes and visualizations
  ☆42Updated 5 years ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆73Updated last year
• tbrown122387 / pf
  PF: a header only template library for fast particle filtering!
  ☆59Updated 4 months ago
• balghane / pyUKF
  Unscented kalman filter (UKF) library in python that supports multiple measurement updates
  ☆89Updated 2 years ago
• strongio / torchcast
  Forecasting with PyTorch
  ☆54Updated last month
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆345Updated last year
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆136Updated 4 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆47Updated 5 years ago
• danstowell / gmphd
  GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
  ☆74Updated 4 years ago
• simonkamronn / kvae
  Kalman Variational Auto-Encoder
  ☆136Updated 6 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 4 years ago
• mit-racecar / particle_filter
  A fast particle filter localization algorithm for the MIT Racecar. Uses RangeLibc for accelerated ray casting.
  ☆223Updated last year
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆23Updated 5 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆66Updated 2 years ago