Show HN: Axiom, a general-purpose model for causal discovery
Category: ai-ml
Tags: causal-discovery, machine-learning, graph-inference, statistics
Score: 6.7/10 (Innovation: 7, Technical: 7, Documentation: 4, Utility: 6)
Axiom is a general-purpose model for causal discovery that infers causal graphs from observational data, distinguishing true causal relationships from mere correlations. It aims to provide a versatile approach applicable across domains, as illustrated by an agricultural example. The project is interesting for its potential to automate causal inference, though details on methodology and implementation are sparse.
Target audience: data scientists, researchers, machine learning engineers
Repository: https://www.maxpagels.com/axiom
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