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Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

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allenai/tango

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A Python library for choreographing your machine learning research.

⚠️ Currently under rapid development, use at your own risk! ⚠️

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Installation

ai2-tango requires Python 3.7 or later.

Installing with pip

ai2-tango is available on PyPI. Just run

pip install ai2-tango

To install with a specific integration, such as torch for example, run

pip install ai2-tango[torch]

Installing from source

To install ai2-tango from source, first clone the repository:

git clone https://github.com/allenai/tango.git
cd tango

Then run

pip install -e .

To install with a specific integration, such as torch for example, run

pip install -e .[torch]

Team

ai2-tango is developed and maintained by the AllenNLP team, backed by the Allen Institute for Artificial Intelligence (AI2). AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering. To learn more about who specifically contributed to this codebase, see our contributors page.

License

ai2-tango is licensed under Apache 2.0. A full copy of the license can be found on GitHub.

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Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

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