gbosquechacon / statrethink_course_in_pymc3

Related projects: ⓘ

• bambinos / educational-resources
  Educational resources
  ☆98Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆91Updated 5 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆269Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆238Updated 6 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆553Updated 11 months ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• springcoil / probabilisticprogrammingprimer
  ☆91Updated 3 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆126Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆123Updated 4 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆86Updated 3 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆95Updated 5 months ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆345Updated 3 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆153Updated 4 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆87Updated 3 weeks ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆655Updated 2 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated last year
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆303Updated last year
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆62Updated 2 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆74Updated 6 years ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆828Updated 4 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆144Updated 3 months ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆669Updated 3 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆276Updated this week
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆122Updated 6 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆162Updated last year
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆167Updated 3 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆242Updated 2 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆222Updated 3 years ago