Software Packages
Research software
⭐ Featured
GRESIT
Nonlinear causal discovery for grouped data using additive noise models, deep learning, and sparse multitask learning
Python
active
HUME
High-dimensional Undirected Graphical Models for Arbitrary Mixed data - learn sparse graphical structures from complex multivariate data.
R
maintained
⭐ Featured
causalAssembly
Semisynthetic data generator for benchmarking causal discovery algorithms with realistic production data and known ground truth causal relationships.
Python
maintained