Skip to main content

A library for choreographing your machine learning research.

Project description

AI2 Tango

A Python library for choreographing your machine learning research.

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

CI PyPI Documentation Status License

Quick links

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]

Checking your installation

Run

tango info

to check your installation.

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-0.3.0.tar.gz (66.9 kB view details)

Uploaded Source

Built Distribution

ai2_tango-0.3.0-py3-none-any.whl (86.9 kB view details)

Uploaded Python 3

File details

Details for the file ai2-tango-0.3.0.tar.gz.

File metadata

  • Download URL: ai2-tango-0.3.0.tar.gz
  • Upload date:
  • Size: 66.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for ai2-tango-0.3.0.tar.gz
Algorithm Hash digest
SHA256 2563ff58b8292a273a41521b5d0d187502aacacdab9db4bc3dcdbb495822a3f7
MD5 25d427dcf4b1a69e44b76335c8158a9a
BLAKE2b-256 67df2da714e501b85fb0c8d39762042b6247d3742e54ab9d236176bb937c0053

See more details on using hashes here.

File details

Details for the file ai2_tango-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: ai2_tango-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 86.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for ai2_tango-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6b2fb8639b7b722544a6f45d00f73673f39f31916d00b06072085f9341af7bf5
MD5 d1dd1fbc2a270a4f6a282b314cd40ccf
BLAKE2b-256 5fd71d7ee1a1a66f82937286740d95577fd0d6157e4b87e49805b317785ddbde

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