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  1. Home
  2. /Repositories
  3. /qualcomm/aimet
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repoGitHubTrust 82 · PrimaryPublished 10d agoLive · 7h 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 →

Related to

toolQuantBench

Covers

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsApple Neural Engine: Architecture, Programming, and Performance

Implements (incoming)

paperRequential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data

Related across the graph

newsOpenAI and Broadcom unveil LLM-optimized inference chippaperRequential Coding: Pushing the Limits of Model Compression with Self-Generated Training DatanewsApple Neural Engine: Architecture, Programming, and PerformancetoolQuantBench
Knowledge path·NOpenAI and Broadcom unveil LLM-optimized inference chip→PRequential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data→NApple Neural Engine: Architecture, Programming, and Performance→Rqualcomm/aimet

Topics

auto-mlcompressiondeep-learningdeep-neural-networksmachine-learningnetwork-compressionnetwork-quantizationopen-sourceopensourcepruning

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score2662