repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 12h ago
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 52%Algorithm–hardware co-design of neuromorphic networks with dual memory pathways →
- PossiblePossibly related (embedding) · 50%SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks →
- PossiblePossibly related (embedding) · 49%Dendritic In-Context Learning in a Single-Layer Spiking Neural Network →
- PossiblePossibly related (embedding) · 55%The Many Faces of Spiking Neural Networks - Electronic Design →
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Related across the graph
paperSpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer NetworkspaperDendritic In-Context Learning in a Single-Layer Spiking Neural NetworknewsAlgorithm–hardware co-design of neuromorphic networks with dual memory pathwaysnewsThe Many Faces of Spiking Neural Networks - Electronic Design
