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  1. Home
  2. /Repositories
  3. /AMD-AGI/GEAK
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 2d ago

AMD-AGI/GEAK

Generating Efficient AI-Centric Kernels

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) · 48%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
  • PossiblePossibly related (embedding) · 46%Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks →

Implements

paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperEvolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

Related across the graph

paperEvolution Fine-Tuning: Learning to Discover Across 371 Optimization TaskspaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
Knowledge path·PEvolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks→PBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials→RAMD-AGI/GEAK

Topics

braingpuhipkernel-optimizationllmpythontriton

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Graph trust82Primary
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