A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
OTHER License
This package is considered EXPERIMENTAL - SILICON LABS DOES NOT OFFER ANY WARRANTIES AND DISCLAIMS ALL IMPLIED WARRANTIES CONCERNING THIS SOFTWARE.
This package is made available as a self-serve reference supported only by the on-line documentation, and community support.
There are no Silicon Labs support services for this software at this time.
This is a Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms.
The features of this Python package include:
Refer to Why MLTK? for more details on the benefits of using the MLTK.
Just want to quickly profile a model to see how fast it can run on an embedded target?
See the [Model Profiler Utility](./docs/guides/model_profiler_utility.md)
.. raw:: html
<iframe src="./_static/overview/index.html" height="100%" width="100%" frameborder="0" class="slideshow-iframe" allowfullscreen></iframe>
Install the pre-built Python package:
.. tab-set::
.. tab-item:: Windows
.. code-block:: shell
pip install silabs-mltk
.. tab-item:: Linux
.. code-block:: shell
pip3 install silabs-mltk
Or, build and install the Python package from Github:
.. tab-set::
.. tab-item:: Windows
.. code-block:: shell
pip install git+https://github.com/siliconlabs/mltk.git
.. tab-item:: Linux
.. code-block:: shell
pip3 install git+https://github.com/siliconlabs/mltk.git
Refer to the Installation Guide for more details on how to install the MLTK.
SPDX-License-Identifier: Zlib
The licensor of this software is Silicon Laboratories Inc.
This software is provided 'as-is', without any express or implied warranty. In no event will the authors be held liable for any damages arising from the use of this software.
Permission is granted to anyone to use this software for any purpose, including commercial applications, and to alter it and redistribute it freely, subject to the following restrictions: