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  1. Home
  2. /Repositories
  3. /cdt15/lingam
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repoGitHubTrust 82 · PrimaryPublished 2d agoLive · 2d ago

cdt15/lingam

Python package for causal discovery based on LiNGAM.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 57%DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data →
  • PossiblePossibly related (embedding) · 50%Relaxing Faithfulness with Intervention-Only Causal Discovery →
  • PossiblePossibly related (embedding) · 47%OpenRCA 2.0: From Outcome Labels to Causal Process Supervision →
  • PossiblePossibly related (embedding) · 46%CausalMix: Data Mixture as Causal Inference for Language Model Training →

Implements

paperDKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured DatapaperRelaxing Faithfulness with Intervention-Only Causal DiscoverypaperOpenRCA 2.0: From Outcome Labels to Causal Process SupervisionpaperCausalMix: Data Mixture as Causal Inference for Language Model Training

Related across the graph

paperDKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured DatapaperCausalMix: Data Mixture as Causal Inference for Language Model TrainingpaperOpenRCA 2.0: From Outcome Labels to Causal Process SupervisionpaperRelaxing Faithfulness with Intervention-Only Causal Discovery
Knowledge path·PDKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data→PCausalMix: Data Mixture as Causal Inference for Language Model Training→POpenRCA 2.0: From Outcome Labels to Causal Process Supervision→Rcdt15/lingam

Topics

causal-discoverycausal-inferencecausal-modelscausalitycausality-analysislingammachine-learningpython

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Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score497