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
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆127Updated last week
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆185Updated last year
• pymc-devs / pymc-bart
  ☆133Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆161Updated 3 weeks ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 5 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 9 months ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated last month
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆68Updated 3 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆182Updated this week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 5 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 5 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated this week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆358Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated 2 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• statease / dexpy
  Design of Experiments in Python
  ☆30Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated last month
• houghb / savvy
  A tool to visualize high dimensionality sensitivity analysis data
  ☆48Updated 4 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 5 months ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 4 years ago
• JuBiotech / calibr8
  Toolbox for non-linear calibration modeling.
  ☆28Updated 3 weeks ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆240Updated 2 months ago
• AlexAndorra / advanced-gp-pydata
  Mastering Gaussian Processes with PyMC
  ☆15Updated 4 months ago