#Causal-discovery
Showing 8 of 8 repositories tagged #causal-discovery, ranked by stars
Next generation of automated data exploratory analysis and visualization platform.
Python Toolkit for Causal and Probabilistic Reasoning
Must-read papers and resources related to causal inference and machine (deep) learning
Python package for causal discovery based on LiNGAM.
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.
A resource list for causality in statistics, data science and physics
DreamGraph is a graph-governed conceptual development environment (CDE) that turns plans, architecture decisions, and project knowledge into auditable execution through a persistent cognitive graph.
Information-Theoretic Measures for Revealing Variable Interactions