Alternatives and similar repositories for Causal-Bayesian-NetworkX:

Users that are interested in Causal-Bayesian-NetworkX are comparing it to the libraries listed below

• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 3 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 5 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆56Updated 9 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆23Updated 10 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 3 years ago
• selective-inference / Python-software
  Python software for selective inference
  ☆52Updated last year
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆27Updated 6 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 10 months ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆12Updated 6 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago