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Tools for working with NengoEdge

Project description

NengoEdge Tools

NengoEdge is a cloud-based platform for training and deploying high accuracy, low power audio AI models on edge devices. This package contains tools and examples to assist in taking a trained model exported from NengoEdge and deploying it in your own application.

To get started running NengoEdge models locally, set up a Python environment using the installation instructions below. Then download the live microphone demo notebook and open it with:

jupyter notebook /path/to/microphone-demo.ipynb
https://www.nengo.ai/nengo-edge/_static/demo.png

Installation

NengoEdge models use the TensorFlow machine learning library. If you already have TensorFlow installed, then all you need is to:

pip install nengo-edge

If you do not have TensorFlow installed, see the see the full installation instructions for more details.

Release history

23.2.23 (February 23, 2023)

Fixed

  • Fixed an issue causing pip to refuse to install nengo-edge. (#3)

23.1.31 (January 31, 2023)

Initial release

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