Alternatives and similar repositories for smc2017

Users that are interested in smc2017 are comparing it to the libraries listed below

• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆13Updated 7 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• mfrdixon / GP-CVA
  ☆14Updated 6 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• Roth-Lab / pgsm
  ☆12Updated 5 months ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 9 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 3 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 6 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• convexfi / fitHeavyTail
  Mean and Covariance Matrix Estimation under Heavy Tails
  ☆22Updated 2 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆54Updated 6 years ago
• ChadFulton / pymar
  Markov Switching Models for Statsmodels
  ☆23Updated 9 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆224Updated 10 months ago