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
Installing
For the Python layer it is recommended to use conda to properly install the various ML packages.
macOS conda setup
brew install miniforge
conda init zshvenv creation for AI
# 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
conda install "pytorch==1.9.1" "torchvision==0.10.1" -c pytorch
conda install scipy "scikit-learn==0.24.2" "scikit-image==0.18.3" -c conda-forge
# For developmen
pip install -e .
# For testing
pip install trame-mnistRun the application
conda activate trame-mnist
trame-mnist3 maintainers
Metadata
3 maintainers
Release files for trame-mnist 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| trame-mnist-1.0.1.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| trame_mnist-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.9 kB
Release files / trame-mnist-1.0.1.tar.gz
| Download URL | trame-mnist-1.0.1.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
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Release files / trame_mnist-1.0.1-py3-none-any.whl
| Download URL | trame_mnist-1.0.1-py3-none-any.whl |
|---|---|
| Size | 14.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
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