Skip to main content

An open-source NLP framework that offers high-level wrappers designed for effortless launch, enhanced reproducibility, superior control, and unmatched flexibility for your experiments.

Project description

PyPI - Package Version PyPI - Python Version GitHub - License

🚀 New Release Available! We've just rolled out a new version of this project! 🎉 While the README.md is still catching up with all the exciting changes, feel free to explore the release notes and dive in. Your feedback is always welcome! ❤️

UrarTU 🦁

Harness the power of UrarTU, a versatile ML framework meticulously designed to provide intuitive abstractions of familiar pipeline components. With a .yaml file-based configuration system, and the added convenience of seamless slurm job submission on clusters, UrarTU takes the complexity out of machine learning, so you can focus on what truly matters! 🚀

urartu_schema drawio

Installation

Getting Started with UrarTU is a Breeze! 🌀 Simply do

pip install urartu

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

urartu-3.0.7.tar.gz (18.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

urartu-3.0.7-py3-none-any.whl (20.7 kB view details)

Uploaded Python 3

File details

Details for the file urartu-3.0.7.tar.gz.

File metadata

  • Download URL: urartu-3.0.7.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for urartu-3.0.7.tar.gz
Algorithm Hash digest
SHA256 dabec911ede79a81f71eec8f1968460dffa588deb0d5df6d559dfecbda5a98e0
MD5 d7f7e81d448df16799bd861787b3880e
BLAKE2b-256 3ebd8ce03a84efcceaf763b10cc4d70045cc71640df44a17580c4b3ab9877fa9

See more details on using hashes here.

File details

Details for the file urartu-3.0.7-py3-none-any.whl.

File metadata

  • Download URL: urartu-3.0.7-py3-none-any.whl
  • Upload date:
  • Size: 20.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for urartu-3.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 57ea7362072e7c8ac7e87091dc71d4ba252ccd5c49a769cab99b63a6e79caeb7
MD5 8eaebe8322c585c7fa5e45165090fea7
BLAKE2b-256 34bf6f5385210756602acf7f6b07b3a85a303bd54ef5997a1d7131046b1e6a7f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page