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An index of algorithms for learning causality with data
Created
2018-09-19
254 commits to master branch, last one about a year ago
YLearn, a pun of "learn why", is a python package for causal inference
Created
2022-03-28
795 commits to main branch, last one 4 months 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
240 commits to master branch, last one 14 days ago
Causal discovery algorithms and tools for implementing new ones
Created
2021-11-25
54 commits to main branch, last one about a month ago
Hyper-geometric computational causality library for Rust
Created
2023-06-18
1,111 commits to main branch, last one 7 days ago
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Created
2019-12-06
14 commits to master branch, last one 3 years ago