A library for choreographing your machine learning research.
Project description
AI2 Tango
A Python library for choreographing your machine learning research.
⚠️ Currently in ALPHA and under active devepment ⚠️
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
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 .
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.
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
File details
Details for the file ai2-tango-0.0.3.tar.gz.
File metadata
- Download URL: ai2-tango-0.0.3.tar.gz
- Upload date:
- Size: 42.2 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/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | eddaf30a5a222c917724d7d20a92d34104fcb1f9caa6601ba63b352f58146227 |
|
| MD5 | 2d7b7f477e972da7ac939c83d19eb836 |
|
| BLAKE2b-256 | f28308ead76217b5681f0276d4b5e2409079c23aeb5f11c3b5481ff3ff85f729 |
File details
Details for the file ai2_tango-0.0.3-py3-none-any.whl.
File metadata
- Download URL: ai2_tango-0.0.3-py3-none-any.whl
- Upload date:
- Size: 49.0 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/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f9d1a9dbcfe2df1256dfd2b9a696924282c2c4b4a200c6dc07b6873a2a65a051 |
|
| MD5 | 554f6cff358b692737670266d626f6f9 |
|
| BLAKE2b-256 | 056403d9e88a998c02c7fb144a37f30395345dee302a952dbf7ecacbb029bb7a |
