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
• zziz / kalman-filter
  Kalman Filter implementation in Python using Numpy only in 30 lines.
  ☆401Updated 3 years ago
• jelfring / particle-filter-tutorial
  ☆144Updated last year
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆97Updated 5 years ago
• pykalman / pykalman
  Kalman Filter, Smoother, and EM Algorithm for Python
  ☆1,286Updated last week
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 7 years ago
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆61Updated last year
• milsto / robust-kalman
  Robust Kalman filter with adaptive noise statistics estimation.
  ☆149Updated 7 years ago
• nchopin / particles
  Sequential Monte Carlo in python
  ☆483Updated 3 months ago
• oseiskar / simdkalman
  Python Kalman filters vectorized as Single Instruction, Multiple Data
  ☆189Updated 2 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
  ☆82Updated last year
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆189Updated 2 years ago
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 6 years ago
• rlabbe / Python-for-Signal-Processing
  Notebooks for "Python for Signal Processing" book
  ☆100Updated 11 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆78Updated last year
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆165Updated 2 years ago
• cjekel / similarity_measures
  Quantify the difference between two arbitrary curves in space
  ☆262Updated 3 months ago
• thomas-haslwanter / scikit-kinematics
  Python functions for working with 3D kinematics.
  ☆141Updated 5 months ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆193Updated 5 years ago
• sharathsrini / Kalman-Filter-for-Sensor-Fusion
  A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
  ☆152Updated 4 months ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• strongio / torchcast
  Forecasting with PyTorch
  ☆55Updated 2 weeks ago
• espdev / csaps
  Cubic spline approximation (smoothing)
  ☆175Updated 5 months ago
• AlexanderFabisch / gmr
  Gaussian Mixture Regression
  ☆199Updated 3 weeks ago
• balghane / pyUKF
  Unscented kalman filter (UKF) library in python that supports multiple measurement updates
  ☆89Updated 3 years ago
• tfabbri / gmphd-py
  GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
  ☆10Updated 9 years ago
• AaltoML / IHGP
  Infinite-horizon Gaussian processes
  ☆33Updated 5 years ago
• mithi / particle-filter-prototype
  Particle Filter Implementations in Python and C++, with lecture notes and visualizations
  ☆43Updated 5 years ago
• danstowell / gmphd
  GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
  ☆76Updated 5 years ago
• balzer82 / Kalman
  Some Python Implementations of the Kalman Filter
  ☆1,129Updated last year