autogluon 1.0.0

AutoML for Image, Text, and Tabular Data

Stars: 7042, Watchers: 7042, Forks: 839, Open Issues: 316

The autogluon/autogluon repo was created 4 years ago and the last code push was 8 hours ago.
The project is extremely popular with a mindblowing 7042 github stars!

How to Install autogluon

You can install autogluon using pip

pip install autogluon

or add it to a project with poetry

poetry add autogluon

Package Details

Author

AutoGluon Community

License

Apache-2.0

Homepage

https://github.com/autogluon/autogluon

PyPi:

https://pypi.org/project/autogluon/

Documentation:

https://auto.gluon.ai

GitHub Repo:

https://github.com/awslabs/autogluon

Classifiers

• Scientific/Engineering/Artificial Intelligence
• Scientific/Engineering/Image Recognition
• Scientific/Engineering/Information Analysis
• Software Development

Related Packages

Errors

A list of common autogluon errors.

Code Examples

Here are some autogluon code examples and snippets.

GitHub Issues

The autogluon package has 316 open issues on GitHub

• Various HPO Cleanup / Fixes
• NN_TORCH incorrectly implements use_batchnorm=True
• Handle nan in categorical feature in text feature generator
• NeuralNetFastAI runs extremely slow
• How do I set confidence when I use test data to predict? Are there relevant parameters?
• [WIP]ARM/M1 dependency upgrade and doc
• Text Prediction only be handled in English? Do you support Chinese?
• Add scikit-learn compatible API
• TabularPredictor config helper
• Consider integrating cleanlab - cleans noisy labels (enhancement)
• [v0.4] Add documentation for HPO / Search Spaces
• [v0.4] Refactor model valid features to be allow instead of exclude
• Feature Tools integration
• Included Model Types
• No GPU is detected in the machine and we will not proceed to run TextPredictor because they will train too slowly with only CPU.

See more issues on GitHub