Alternatives and similar repositories for Kalman-and-Bayesian-Filters-in-Python

Users that are interested in Kalman-and-Bayesian-Filters-in-Python are comparing it to the libraries listed below

• rlabbe / filterpy
  Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalm…
  ☆3,683Updated last year
• balzer82 / Kalman
  Some Python Implementations of the Kalman Filter
  ☆1,120Updated last year
• pykalman / pykalman
  Kalman Filter, Smoother, and EM Algorithm for Python
  ☆1,241Updated last month
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,323Updated this week
• zziz / kalman-filter
  Kalman Filter implementation in Python using Numpy only in 30 lines.
  ☆395Updated 3 years ago
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,424Updated last month
• vdumoulin / conv_arithmetic
  A technical report on convolution arithmetic in the context of deep learning
  ☆14,522Updated 2 years ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,380Updated last week
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,837Updated last year
• SheffieldML / GPy
  Gaussian processes framework in python
  ☆2,123Updated 4 months ago
• python-control / python-control
  The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control syste…
  ☆1,908Updated 3 months ago
• cvxpy / cvxpy
  A Python-embedded modeling language for convex optimization problems.
  ☆5,974Updated last week
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,511Updated 8 years ago
• facontidavide / PlotJuggler
  The Time Series Visualization Tool that you deserve.
  ☆5,445Updated this week
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,384Updated last week
• CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆28,187Updated last year
• mherb / kalman
  Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3
  ☆1,446Updated 2 years ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,899Updated last year
• unpingco / Python-for-Signal-Processing
  Notebooks for "Python for Signal Processing" book
  ☆1,720Updated 5 years ago
• simondlevy / TinyEKF
  Lightweight C/C++ Extended Kalman Filter with Python for prototyping
  ☆1,144Updated last week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,781Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,796Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,888Updated 3 months ago
• RobotLocomotion / drake
  Model-based design and verification for robotics.
  ☆3,777Updated last week
• cs231n / cs231n.github.io
  Public facing notes page
  ☆10,643Updated last month
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,494Updated 2 weeks ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,930Updated this week
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,378Updated this week
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,235Updated 5 months ago
• HarisIqbal88 / PlotNeuralNet
  Latex code for making neural networks diagrams
  ☆24,011Updated 2 years ago