Alternatives and similar repositories for pymc_statespace:

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

• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated last week
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated this week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆98Updated this week
• pymc-devs / pymc-bart
  ☆105Updated this week
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 7 months ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 9 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 5 months ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆16Updated 6 months ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆33Updated 2 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆32Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆58Updated last month
• canyon289 / ssm_book_club
  ☆17Updated last year
• avehtari / casestudies
  ☆27Updated 5 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 4 months ago
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated last month
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 5 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 2 weeks ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆127Updated last week
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆36Updated last week
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 9 months ago