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

Home Page: https://neuralet.com

License: Apache License 2.0

Dockerfile 12.17% Python 78.67% Shell 0.61% HTML 0.18% JavaScript 0.36% Jupyter Notebook 7.89% Roff 0.12%

neuralet's Introduction

Neuralet

Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more. We hope to make it easier to start and evaluate various 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

neuralet's People

Contributors

mrn-mln avatar mhejrati avatar alpha-carinae29 avatar jsonsadler avatar undefined-references avatar emmawdev avatar kkrampa avatar mdegans avatar robert-p97 avatar mohammad7t avatar

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