rten and onnx-rs
Maintenance
10/25
Adoption
20/25
Maturity
8/25
Community
12/25
Maintenance
0/25
Adoption
11/25
Maturity
16/25
Community
5/25
Stars: 294
Forks: 18
Downloads: 57,106
Commits (30d): 0
Language: Rust
License: —
Stars: 18
Forks: 1
Downloads: 139
Commits (30d): 0
Language: Rust
License: MIT
No License
No Package
No Dependents
Stale 6m
No Package
No Dependents
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.
machine-learning-inference
edge-ai
application-development
web-development
embedded-systems
About onnx-rs
nhynes/onnx-rs
ONNX for Rust
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work