jerkern / pyParticleEstLinks
Python Library for Particle based estimation methods
☆63Updated 6 years ago
Alternatives and similar repositories for pyParticleEst
Users that are interested in pyParticleEst are comparing it to the libraries listed below
Sorting:
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Various packages used by PMTK.☆55Updated 6 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- 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
- Parameterization Framework for parameterized model creation and handling.☆49Updated last month
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Basic Gaussian process regression library. (Eigen3 required)☆26Updated 10 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- lightspeed matlab toolbox☆134Updated 4 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated 2 years ago
- Basic Python particle filter☆179Updated 2 years ago
- Repository for "Fitting a Kalman Smoother to Data"☆60Updated last year
- A CVXPY extension for convex-concave programming☆130Updated last year
- ☆77Updated 3 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- A Python connector to IPOPT☆208Updated 2 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- Gaussian process code in C++ including some implementations of GP-LVM and IVM.☆71Updated 3 years ago
- Notebooks for "Python for Signal Processing" book☆97Updated 11 years ago
- Pure Python/Numpy implementation of the Nelder-Mead algorithm.☆125Updated 4 years ago
- A Python convex optimization package using proximal splitting methods☆112Updated 2 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago