Which machine learning frameworks are supported?

The skill supports major frameworks including PyTorch, TensorFlow, Keras, and Scikit-Learn for conversion to ONNX.

Can this skill help with model optimization?

Yes, it provides specific guidance on quantization and graph optimization techniques to improve inference speed and reduce model size.

How does it validate the converted models?

It uses industry-standard validation tools to check the integrity of the ONNX graph and ensures that the converted model's outputs match the original framework's results.

Does it generate code for MLOps pipelines?

Absolutely, the skill generates production-grade scripts that can be integrated into CI/CD pipelines for automated model conversion.

ONNX Model Converter

Name: ONNX Model Converter
Author: jeremylongshore

byjeremylongshore

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1,687

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데이터 과학 및 ML

Converts machine learning models into the ONNX format to enable cross-platform inference and streamlined production deployment.

The ONNX Model Converter skill simplifies the transition from model training to production by automating the conversion of machine learning models into the Open Neural Network Exchange (ONNX) format. It provides expert guidance on optimizing models for high-performance inference, ensuring compatibility across diverse frameworks like PyTorch, TensorFlow, and Scikit-Learn. By generating production-ready conversion scripts and validating outputs against industry standards, this skill helps developers build robust MLOps pipelines and deploy optimized models to edge devices or cloud environments with confidence.

주요 기능

01Inference performance optimization and model quantization guidance

02Generation of production-ready deployment and serving scripts

03Automated conversion from PyTorch, TensorFlow, and Scikit-Learn to ONNX

041,687 GitHub stars

05Cross-platform compatibility checks for various inference runtimes

06Standardized validation of converted ONNX graphs for consistency

사용 사례

01Standardizing diverse model formats into a unified ONNX pipeline for MLOps

02Optimizing machine learning models for edge device execution and mobile apps

03Converting a PyTorch research model for low-latency C++ runtime deployment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills onnx-converter

For use in Claude.ai and ChatGPT

Download Skill