Alternatives and similar repositories for PyMC3_EUSS:

Users that are interested in PyMC3_EUSS are comparing it to the libraries listed below

• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 7 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆19Updated this week
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 5 years ago
• arviz-devs / simuk
  Implementation of simulation based calibration for PyMC and Bambi
  ☆47Updated this week
• berkeley-stat159-f17 / stat159-f17
  Reproducible & Collaborative Data Science, Fall 2017 - Main class website
  ☆23Updated 7 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated last week
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 5 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• ericmjl / distributions
  Central repository for my distributions figures
  ☆16Updated 5 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆36Updated 8 years ago
• UCIDataScienceInitiative / AdvPredictiveModeling_withPython
  Jupyter Notebooks for Adv. Predictive Modeling Course
  ☆15Updated 7 years ago
• twiecki / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PYMC3)
  ☆20Updated 9 years ago
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆92Updated 6 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• tinu-schneider / DBDA_hierach_diagram
  init
  ☆50Updated 11 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆68Updated 6 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 4 months ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 8 months ago