MetaTF is used for the creation, training, and testing of neural networks. MetaTF supports the development of systems for Edge AI on Brainchip's Akida event domain neural processor.

The MetaTF ML framework comprises three main python packages:

The Akida python package is an interface to the BrainChip Akida Neuromorphic System-on-Chip (NSoC). To allow the development of Akida models without actual Akida hardware, it includes a runtime, a Hardware Abstraction Layer (HAL), and a software backend that simulates the Akida NSoC.

The CNN2SNN tool provides means to convert Convolutional Neural Networks (CNN) that were trained using Deep Learning methods to event domain, low-latency and low-power network for use with the Akida runtime.

The Akida model zoo contains pre-created network models built with the Akida sequential API and the CNN2SNN tool using quantized Keras models.