Alternatives and similar repositories for smc2017

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

• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆15Updated last year
• mfrdixon / GP-CVA
  ☆14Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• 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
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 7 months 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
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆12Updated 7 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• gpschool / gpss18
  Gaussian Process and Uncertainty Quantification Summer School 2018
  ☆31Updated 2 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• asnelt / mixedvines
  Python package for canonical vine copula trees with mixed continuous and discrete marginals
  ☆46Updated last year
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆32Updated 4 years ago
• canerturkmen / hawkeslib
  fast parameter estimation for simpler Hawkes processes
  ☆70Updated 3 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• DiegoAE / BOSD
  ☆26Updated 5 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• AaltoML / boundary-gp
  Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
  ☆23Updated 6 years ago
• alnurali / cvxstoc
  Disciplined convex stochastic programming. For the cvxstoc home page, please see:
  ☆32Updated 4 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• stochasticresearch / copula-py
  Python Copula Module
  ☆43Updated 2 years ago