Alternatives and similar repositories for All-that-likelihood-with-PyMC3

Users that are interested in All-that-likelihood-with-PyMC3 are comparing it to the libraries listed below

• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 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 2 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated 2 months 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…
  ☆127Updated 9 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 5 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• tinu-schneider / DBDA_hierach_diagram
  init
  ☆50Updated 11 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆62Updated 6 months ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• junpenglao / GLMM-in-Python
  Generalized linear mixed-effect model in Python
  ☆182Updated 7 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆144Updated last month
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆35Updated last month
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆82Updated this week
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆168Updated 2 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago