Skip to main content

A library for choreographing your machine learning research.

Project description




AI2 Tango replaces messy directories and spreadsheets full of file versions by organizing experiments into discrete steps that can be cached and reused throughout the lifetime of a research project.


CI PyPI Documentation Status License

Quick links

Installation

ai2-tango requires Python 3.7 or later.

Installing with conda

ai2-tango is available on conda-forge. You can install just the base package with

conda install tango -c conda-forge

You can pick and choose from the integrations with one of these:

conda install tango-datasets -c conda-forge
conda install tango-pytorch_lightning -c conda-forge
conda install tango-torch -c conda-forge
conda install tango-wandb -c conda-forge

You can also install everything:

conda install tango-all -c conda-forge

Even though ai2-tango itself is quite small, installing everything will pull in a lot of dependencies. Don't be surprised if this takes a while!

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]

Checking your installation

Run

tango info

to check your installation.

FAQ

Why is the library named Tango?

The motivation behind this library is that we can make research easier by composing it into well-defined steps. What happens when you choreograph a number of steps together? Well, you get a dance. And since our team's leader is part of a tango band, "AI2 Tango" was an obvious choice!

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.

Project details


Download files

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

Source Distribution

ai2-tango-0.4.0rc4.tar.gz (88.9 kB view details)

Uploaded Source

Built Distribution

ai2_tango-0.4.0rc4-py3-none-any.whl (114.1 kB view details)

Uploaded Python 3

File details

Details for the file ai2-tango-0.4.0rc4.tar.gz.

File metadata

  • Download URL: ai2-tango-0.4.0rc4.tar.gz
  • Upload date:
  • Size: 88.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for ai2-tango-0.4.0rc4.tar.gz
Algorithm Hash digest
SHA256 909613311dc568d0b470e9a9db6fa3b1cdd915eb60d78c0a949e01b5b4eed5fc
MD5 c822d241338c866d26e056eb26996c36
BLAKE2b-256 63228e5773e881d4a4e6bd06f9fe2e7518ef841616a1a942635645a0de9bb543

See more details on using hashes here.

File details

Details for the file ai2_tango-0.4.0rc4-py3-none-any.whl.

File metadata

  • Download URL: ai2_tango-0.4.0rc4-py3-none-any.whl
  • Upload date:
  • Size: 114.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for ai2_tango-0.4.0rc4-py3-none-any.whl
Algorithm Hash digest
SHA256 747a5cb97cd2c1613ba513cb15e153d60d5887c78299dd08aeec7d09a1187004
MD5 8ee61921334b93002c78905288f92459
BLAKE2b-256 2a0ede3e54ff9aa747519a70af4b01e02ae0c45139e9aedfeb69aea3aec9e19f

See more details on using hashes here.

Supported by

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