matteocarnelos/microflow-rs
A robust and efficient TinyML inference engine.
This is a tool for developers who build TinyML applications. It helps you take your trained TensorFlow Lite machine learning models and efficiently run them directly on small, low-power embedded devices like microcontrollers. It takes your model file and generates optimized code that can be deployed on the target hardware.
171 stars and 17 monthly downloads. No commits in the last 6 months.
Use this if you are a Rust developer needing to deploy machine learning models on resource-constrained embedded systems and microcontrollers.
Not ideal if you are looking for a high-level API for training models or for deploying on powerful edge devices like NVIDIA Jetson boards.
Stars
171
Forks
17
Language
Rust
License
Apache-2.0
Category
Last pushed
Jan 22, 2025
Monthly downloads
17
Commits (30d)
0
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