================
Trame MNIST
================
Example application using **trame** for exploring MNIST dataset in the context of AI training and XAI thanks to **XAITK**.
* Free software: BSD License
* `XAITK Saliency with MNIST <https://github.com/XAITK/xaitk-saliency/blob/master/examples/MNIST_scikit_saliency.ipynb>`_
* `XAI Discovery Platform | MNIST Sample Data <http://obereed.net:3838/mnist/>`_
Installing
----------
For the Python layer it is recommended to use `conda <https://docs.conda.io/en/latest/miniconda.html>`_ to properly install the various ML packages.
conda setup on macOS
^^^^^^^^^^^^^^^^^^^^^
Go to `conda documentation <https://docs.conda.io/en/latest/miniconda.html>`_ for your OS
.. code-block:: console
brew install miniforge
conda init zsh
venv setup for AI
^^^^^^^^^^^^^^^^^^
.. code-block:: console
# Needed in order to get py3.9 with lzma
# PYTHON_CONFIGURE_OPTS="--enable-framework" pyenv install 3.9.9
conda create --name trame-mnist python=3.9
conda activate trame-mnist
# For development when inside repo
pip install -e .
# For testing (no need to clone repo)
pip install trame-mnist
Running the application
------------------------
.. code-block:: console
conda activate trame-mnist
trame-mnist
If **cuda** is available, the application will use your GPU, but you can also force the usage of your cpu by adding to your command line the following argument: **--cpu**
|image_1| |image_2| |image_3|
.. |image_1| image:: https://github.com/Kitware/trame-mnist/raw/master/gallery/trame-mnist-02.jpg
:width: 32%
.. |image_2| image:: https://github.com/Kitware/trame-mnist/raw/master/gallery/trame-mnist-03.jpg
:width: 32%
.. |image_3| image:: https://github.com/Kitware/trame-mnist/raw/master/gallery/trame-mnist-04.jpg
:width: 32%
License
--------
**trame-mnist** is distributed under the OSI-approved BSD 3-clause License.
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