rten and ors
One is an ONNX inference engine written in Rust, while the other provides Rust bindings to the existing ONNX Runtime library, making them **competitors** in the sense that a user would likely choose one implementation approach over the other for ONNX inference in Rust.
About rten
robertknight/rten
ONNX neural network inference engine
This project helps developers integrate pre-trained machine learning models, often created in Python frameworks like PyTorch, directly into Rust applications or web-based JavaScript environments. It takes an ONNX model file as input and allows the application to run the model efficiently, producing predictions or classifications. It's designed for developers building applications where machine learning inference needs to run directly within a Rust-powered backend or a web browser.
About ors
HaoboGu/ors
onnxruntime bindings for rust
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