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An index of algorithms for learning causality with data
Created
2018-09-19
254 commits to master branch, last one 10 months ago
Eliot: the logging system that tells you *why* it happened
Created
2014-04-09
1,151 commits to master branch, last one 3 months ago
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Created
2020-01-01
898 commits to master branch, last one 8 days ago
YLearn, a pun of "learn why", is a python package for causal inference
Created
2022-03-28
792 commits to main branch, last one 2 months ago
Python package for causal discovery based on LiNGAM.
Created
2019-08-22
517 commits to master branch, last one 15 days ago
A resource list for causality in statistics, data science and physics
causal
physics
causality
causation
statistics
data-science
causal-impact
causal-models
meta-learning
causal-networks
causal-discovery
causal-inference
machine-learning
bayesian-inference
causality-analysis
statistical-physics
causality-algorithms
statistical-inference
statistical-mechanics
causal-machine-learning
Created
2018-01-04
235 commits to master branch, last one 2 months ago
A Python package for causal inference using Synthetic Controls
Created
2020-06-27
107 commits to master branch, last one 2 years ago
Hyper-geometric computational causality library for Rust
Created
2023-06-18
954 commits to main branch, last one 2 months ago
Python package for Granger causality test with nonlinear forecasting methods.
Created
2020-09-05
41 commits to master branch, last one 2 months ago
Causing: CAUsal INterpretation using Graphs
Created
2020-05-25
433 commits to develop branch, last one 7 months ago