ginozza/shrew
A language-agnostic deep learning framework for decoupled model definition and execution.
This project helps deep learning practitioners define neural network models in a clear, language-agnostic format, then train them using Python or Rust. You provide your model architecture specifications and data, and it outputs a trained model ready for deployment across various platforms without complex conversions. It's designed for machine learning engineers and researchers building and deploying advanced deep learning solutions.
Use this if you need to build and deploy deep learning models with high performance, requiring flexible model definition and efficient execution on both CPUs and NVIDIA GPUs.
Not ideal if you are new to deep learning or prefer a high-level framework with extensive pre-built models and simpler abstractions for rapid prototyping.
Stars
7
Forks
—
Language
Rust
License
Apache-2.0
Category
Last pushed
Feb 27, 2026
Monthly downloads
14
Commits (30d)
0
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