Alternatives and similar repositories for Causal-Bayesian-NetworkX:

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

• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 5 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• EpistasisLab / ReBATE
  Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…
  ☆33Updated 6 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆20Updated 3 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 7 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago
• ColCarroll / sampled
  Decorator for PyMC3
  ☆50Updated 3 years ago
• mrocklin / dask-workshop
  ☆28Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated 6 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆60Updated 8 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated last month
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• tharte / mbt
  R in Finance 2016 Seminar: Modern Bayesian Tools for Time Series Analysis
  ☆26Updated 8 years ago
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆27Updated 6 years ago