onnx-go
A Go interface for importing and executing pre-trained ONNX neural network models without framework dependencies.
What is onnx-go?
onnx-go is a Go package that decodes ONNX (Open Neural Network Exchange) binary models into executable computation graphs. It enables Go developers to integrate machine learning capabilities into their applications by leveraging pre-trained models from the ONNX Model Zoo, without requiring deep data science expertise.
Go developers who need to add machine learning capabilities to their code, particularly those wanting to use pre-trained neural network models without extensive data science knowledge.
Developers choose onnx-go because it provides a backend-agnostic design for pluggable execution backends, includes a reference backend using Gorgonia, and focuses on seamless model import and execution within Go ecosystems, abstracting away framework complexities.
Overview
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Use Cases
Best For
- Integrating pre-trained ONNX models from the ONNX Model Zoo into Go applications.
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