Alternatives and similar repositories for jupyter_case_studies

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

• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆51Updated 2 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 5 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆200Updated last week
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• tinu-schneider / DBDA_hierach_diagram
  init
  ☆50Updated 11 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 3 months ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆137Updated last week
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 9 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago