Alternatives and similar repositories for jupyter_case_studies:

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

• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 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
  ☆99Updated 10 months ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆165Updated 2 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆76Updated 11 months ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆125Updated 4 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 6 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆142Updated 4 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆47Updated this week
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆93Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆51Updated 2 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆18Updated last week
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆189Updated 6 months ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆237Updated 6 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆313Updated last year
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆57Updated 6 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 3 months ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆143Updated 7 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆115Updated this week