repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 20h ago
qualcomm/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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) · 52%QuantBench →
- PossiblePossibly related (embedding) · 50%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 46%Apple Neural Engine: Architecture, Programming, and Performance →
- PossiblePossibly related (embedding) · 47%Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data →
- PossiblePossibly related (embedding) · 51%Qualcomm IMSDK 2.0 – accelerated AI and multimedia in one toolkit - Qualcomm →
Related to
Covers
Implements (incoming)
Covers (incoming)
Related across the graph
newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsQualcomm IMSDK 2.0 – accelerated AI and multimedia in one toolkit - QualcommpaperRequential Coding: Pushing the Limits of Model Compression with Self-Generated Training DatanewsApple Neural Engine: Architecture, Programming, and PerformancetoolQuantBench