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Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

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galliot-us/neuralet

Galliot now hosts all Neuralet’s content and expertise gained in three years of work and completing high-quality applications, mainly in Computer Vision and Deep Learning. More Info

Neuralet >>>

Neuralet is an open-source platform for deep learning models on GPUs, TPUs, and more. This open-source project was backed by the Galliot team (galliot.us) in 2019, and later added to their portfolio. The goal is to make it easier to start and evaluate deep learning models on different edge devices.

We currently provide models for Coral Dev Board TPU and amd64 node with attached usb edge TPU, and soon will release models for other edge devices such as NVIDIA Jetson and more.

Please join our slack channel or reach out to [email protected] if you have any questions.

How to use Neuralet?

Neuralet is a set of docker containers that are packaged to run directly on the device. A separate docker container is built for each model on each device to make it very simple to get started with any model on any device.

Currently supported models

amd64 + edge TPU

Image Classification

Object Detection

Coral Dev Board

Image Classification

Object Detection

NVIDIA Jetson Nano

Coming soon.

Contact

You can reach us via these channels:

License

Apache License 2.0