temporal-neural-solver

Community

Ultra-fast WASM neural inference

Authorricable
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the need for extremely fast neural network inference, particularly in resource-constrained environments like edge devices and web browsers, by leveraging WebAssembly for sub-microsecond latency.

Core Features & Use Cases

  • Ultra-fast Inference: Achieve sub-microsecond latency for neural network predictions.
  • WebAssembly Deployment: Optimized for running inference directly in the browser or on edge devices.
  • Minimal Overhead: Designed for low memory footprint and efficient execution.
  • Use Case: Deploy a real-time object detection model in a web application that needs to process video frames with minimal delay, or run a complex recommendation engine on an IoT device.

Quick Start

Use the temporal-neural-solver skill to load the model located at './model.onnx' and perform inference on the provided sensor data.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: temporal-neural-solver
Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#temporal-neural-solver

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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