Alternatives and similar repositories for workshops

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

• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated 2 weeks ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆102Updated this week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 2 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 4 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆148Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆112Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆51Updated 2 months ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated last year
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆137Updated this week
• pymc-devs / pymc-bart
  ☆112Updated last week
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated last month
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 4 months ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆92Updated last week
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆26Updated last week
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆23Updated 9 months ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• mjhajharia / pydata21
  Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC
  ☆26Updated 3 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated 6 months ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 weeks ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated last year