nogibjj/rust-mlops-template

Provides hands-on cookbook-style examples for building ML systems with Rust, including PyTorch model training via tch-rs bindings, ONNX model serving with Actix web framework, AWS Lambda deployment, and CLI tools for NLP tasks. The template emphasizes command-line-driven workflows as an alternative to Jupyter/Conda stacks, leveraging Rust's performance, energy efficiency, and type safety for production MLOps pipelines. Pre-configured with GitHub Codespaces, Cargo package management, and integrated CI/CD workflows for rapid experimentation.

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