Alternatives and similar repositories for pgmpy_notebook:

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

• pgmpy / pgmpy
  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
  ☆2,851Updated this week
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated last year
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,133Updated 3 years ago
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆574Updated 5 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆696Updated 5 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆239Updated 4 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆244Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆152Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆565Updated 4 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆217Updated last year
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆217Updated 2 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆266Updated 2 years ago
• akelleh / causality
  Tools for causal analysis
  ☆1,071Updated 2 weeks ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆239Updated 6 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆620Updated 10 months ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆677Updated this week
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆505Updated 3 weeks ago
• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆253Updated 11 months ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 2 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,298Updated 3 years ago
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆419Updated this week
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 9 months ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆900Updated 3 years ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆416Updated 4 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 4 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆677Updated 3 years ago