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! ⚠️
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]
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
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
Built Distribution
Hashes for ai2_tango-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cbc7e8427eeda7c48c1694c9e9cb8ef38e9af431db8ff910a8bb723389fa8305 |
|
MD5 | 5bc2ddf5c83a1fa2b2e6200fc6956706 |
|
BLAKE2b-256 | bedcf79721b15a38378cc548a0c5797e098bc8643be27ff1cf8855cb81367eaa |