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  1. Home
  2. /Repositories
  3. /aws-neuron/aws-neuron-samples
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 9d agoLive · 9d ago

aws-neuron/aws-neuron-samples

Example code for AWS Neuron SDK developers building inference and training applications

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) · 49%Apple Neural Engine: Architecture, Programming, and Performance →
  • PossiblePossibly related (embedding) · 48%How Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS - Amazon Web Services (AWS) →
  • PossiblePossibly related (embedding) · 48%EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection →
  • PossiblePossibly related (embedding) · 48%Algorithm–hardware co-design of neuromorphic networks with dual memory pathways →
  • PossiblePossibly related (embedding) · 47%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →

Covers

newsApple Neural Engine: Architecture, Programming, and PerformancenewsHow Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS - Amazon Web Services (AWS)newsAlgorithm–hardware co-design of neuromorphic networks with dual memory pathways

Implements

paperEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike DetectionpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

Related across the graph

newsHow Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS - Amazon Web Services (AWS)paperEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike DetectionpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialsnewsAlgorithm–hardware co-design of neuromorphic networks with dual memory pathwaysnewsApple Neural Engine: Architecture, Programming, and Performance
Knowledge path·NHow Iowa State University’s Translational AI Center is feeding the future with generative AI and computer vision on AWS - Amazon Web Services (AWS)→PEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection→PBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials→Raws-neuron/aws-neuron-samples

Topics

deep-learningmachine-learningpytorchtensorflow

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Graph trust82Primary
Graph score162