Phd Thesis
Accelerating Monte Carlo methods for Bayesian inference in dynamical models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Particles | 351 |  | 1 | 1 | 4 months ago | 4 | November 06, 2023 | 5 | mit | Python |
| Sequential Monte Carlo in python | ||||||||||
| Lowlevelparticlefilters.jl | 105 | 3 months ago | 6 | other | Julia | |||||
| State estimation, smoothing and parameter estimation using Kalman and particle filters. | ||||||||||
| Pyfilter | 67 | a year ago | 1 | mit | Python | |||||
| Particle filtering and sequential parameter inference in Python | ||||||||||
| Pdsampler.jl | 26 | 6 years ago | 8 | other | Julia | |||||
| Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...) | ||||||||||
| Genparticlefilters.jl | 14 | a year ago | 1 | apache-2.0 | Julia | |||||
| Building blocks for simple and advanced particle filtering in Gen. | ||||||||||
| Epbp | 9 | 6 years ago | 1 | mit | Julia | |||||
| Expectation Particle Belief Propagation code | ||||||||||
| Phd Thesis | 8 | 6 years ago | gpl-3.0 | Python | ||||||
| Accelerating Monte Carlo methods for Bayesian inference in dynamical models | ||||||||||
| Feedbackparticlefilters.jl | 8 | a year ago | 6 | mit | Julia | |||||
| A Julia package that provides (feedback) particle filters for nonlinear stochastic filtering and data assimilation problems | ||||||||||
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