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The Top 13 Machine Learning Causal Models Open Source Projects

Open source projects categorized as Machine Learning Causal Models
Categories > Causal Models
Categories > Machine Learning > Machine Learning
Dowhy ⭐ 6,656
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
dependent packages 7total releases 14most recent commit 23 days agopypi dowhy} Downloads
Causalnex ⭐ 2,109
A Python library that helps data scientists to infer causation rather than observing correlation.
most recent commit 2 months ago
Causaldiscoverytoolbox ⭐ 804
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
dependent packages 2total releases 37most recent commit 2 years agopypi cdt} Downloads
Causallib ⭐ 653
A Python package for modular causal inference analysis and model evaluations
total releases 15most recent commit 6 months ago
Bnlearn ⭐ 406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 4total releases 73most recent commit 5 months agopypi bnlearn} Downloads
Causal Ml ⭐ 376
Must-read papers and resources related to causal inference and machine (deep) learning
most recent commit a year ago
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22most recent commit 3 months ago
Looper ⭐ 201
A resource list for causality in statistics, data science and physics
most recent commit 4 months ago
Awesome Graph Causal Learning ⭐ 108
A list of Graph Causal Learning materials.
most recent commit 8 months ago
Benchpress ⭐ 52
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
most recent commit 3 months ago
Causal Semantic Generative Model ⭐ 43
Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)
most recent commit 2 years ago
Dcbo ⭐ 22
Dynamic causal Bayesian optimisation
most recent commit a year ago
Graphical_model_learning ⭐ 5
Learning graphical models, with a focus on causal models and learning from interventional data.
most recent commit 2 years ago
The 3 Most Depended On Machine Learning Causal Models Open Source Projects
Bnlearn ⭐ 406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 4total releases 73latest release November 15, 2023most recent commit 5 months agopypi bnlearn} Downloads
The 5 Latest Releases In Machine Learning Causal Models Open Source Projects
Bnlearn ⭐ 406
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dependent packages 4total releases 73latest release November 15, 2023most recent commit 5 months agopypi bnlearn} Downloads
Causallib ⭐ 653
A Python package for modular causal inference analysis and model evaluations
total releases 15latest release October 25, 2023most recent commit 6 months ago
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22latest release October 07, 2023most recent commit 3 months ago
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