delay-adaptive-snn-classifier
CommunityReliable early-stop for delay-adaptive SNNs.
Software Engineering#real-time#calibration#conformal-prediction#edge-ai#spiking-neural-network#delay-adaptive-snn#early-stopping
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Traditional SNN classifiers process the entire input sequence before making a decision, leading to unnecessary latency and energy consumption on edge devices. This skill enables early stopping with reliability guarantees using conformal prediction, adapting to input difficulty to save time and power.
Core Features & Use Cases
- Early stopping for delay-adaptive spiking neural networks with reliability guarantees.
- Calibrated confidence via Conformal Predictor for per-input stopping decisions.
- Suitable for edge AI, real-time inference, and low-latency applications.
Quick Start
Run SpikeCP-enabled SNN on a stream of input data and stop processing once the confidence threshold is reached.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: delay-adaptive-snn-classifier Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#delay-adaptive-snn-classifier Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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