repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 22d ago
qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
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%Quantum vs. Classical Machine Learning: A Unified Empirical Comparison →
- PossiblePossibly related (embedding) · 50%Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks →
- PossiblePossibly related (embedding) · 47%QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition →
- PossiblePossibly related (embedding) · 49%GenieX developer preview: run generative AI on Qualcomm chipsets with just a few lines of code - Qualcomm →
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Related across the graph
paperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonnewsGenieX developer preview: run generative AI on Qualcomm chipsets with just a few lines of code - QualcommnewsAlibaba's model never trained as an agent — and improved agent performance across seven benchmarkspaperQFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
