Alternatives and similar repositories for statrethink-course-numpyro-2019

Users that are interested in statrethink-course-numpyro-2019 are comparing it to the libraries listed below

• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆174Updated last week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆115Updated last week
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆460Updated 4 months ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆147Updated last week
• scikit-hep / resample
  Randomization-based inference in Python
  ☆82Updated this week
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆45Updated last year
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 2 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 3 weeks ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated last week
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆345Updated last month
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆114Updated last year
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆173Updated last year
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆272Updated 3 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• pymc-devs / pymc-bart
  ☆122Updated this week
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• omarfsosa / tech-talk-hierarchical-models
  ☆42Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 6 months ago
• ericmjl / dl-workshop
  Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
  ☆228Updated last year
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated 2 weeks ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 4 months ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 7 months ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago