Skip to main content

PyMAIA

PyMAIA

Documentation Status Version License Python CUDA

GitHub Release Date - Published_At GitHub contributors GitHub top language GitHub language count GitHub Workflow Status (with event) GitHub all releases PyPI - Downloads GitHub PyPI - License

Conda Conda

GitHub repo size GitHub release (with filter) PyPI

What is PyMAIA?

Hive is a Python package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet , nnDetection, MONAI ).

Local Environment Setup

To install the package, run the following commands:

conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
or conda install cudatoolkit cuda-version=11
pip install nnunetv2/nndetection
pip install pymaia-learn

More information can be found in the documentation.

Tutorials

Docker and Singularity

PyMAIA can be run in a containerized environment using Docker or Singularity. To create the PyMAIA image, you can use HPPCM, a tool to create container images for HPC applications from given recipes.

pip install hpccm

hpccm --recipe recipe.py --format singularity > PyMAIA.def
singularity build PyMAIA.sif PyMAIA.def

hpccm --recipe recipe.py --format docker > Dockerfile
docker build -t pymaia .

Metadata

Release files for pymaia-learn 1.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pymaia-learn 1.2.3
File Size Uploaded
pymaia_learn-1.2.3.tar.gz 62.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pymaia-learn 1.2.3
File Interpreter ABI Platform
pymaia_learn-1.2.3-py3-none-any.whl Python 3 none any Details

Total release size: 123.2 kB

Release files / pymaia_learn-1.2.3.tar.gz

Download URL pymaia_learn-1.2.3.tar.gz
Size 62.2 kB
Tags Source
SHA-256 checksum
How to use checksums
b1d04c7df4b3d9175a7a0aa6d516ea3595d33dad453b09ff3035f02158ef36d4
BLAKE2b-256 checksum
How to use checksums
b417a235b831736c80c285f060d3742dcc2217cf7965cd49ebec37d0f34d2b5a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Release files / pymaia_learn-1.2.3-py3-none-any.whl

Download URL pymaia_learn-1.2.3-py3-none-any.whl
Size 61.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9840fbf1b1f18491160b5cd52984fd509bd41aec380fe0975855346651ffb928
BLAKE2b-256 checksum
How to use checksums
0230266f092dc4ca2ce14d528ec46febe603eedccbf45fc34e32741a3e76c8ad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Release history Release notifications | RSS feed

This release

1.2.3 This release

2 release files

1.2.1

2 release files

1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page