Alternatives and similar repositories for Intro_to_PyMC3

Users that are interested in Intro_to_PyMC3 are comparing it to the libraries listed below

• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 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…
  ☆127Updated 9 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated last month
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 10 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated 5 months ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆91Updated 4 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆127Updated 5 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• civisanalytics / muffnn
  Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn
  ☆46Updated 2 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago