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GitHub / microsoft / nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2Fnni

Stars: 13,799
Forks: 1,806
Open Issues: 402

License: mit
Language: Python
Repo Size: 127 MB
Dependencies: 2,909

Created: almost 6 years ago
Updated: 7 days ago
Last pushed: 16 days ago
Last synced: 7 days ago

Commit Stats

Commits: 2758
Authors: 203
Mean commits per author: 13.59
Development Distribution Score: 0.911
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/microsoft/nni

Topics: automated-machine-learning, automl, bayesian-optimization, data-science, deep-learning, deep-neural-network, distributed, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, mlops, model-compression, nas, neural-architecture-search, neural-network, python, pytorch, tensorflow

Files
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    Readme
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    Dependencies
    setup.py pypi
    Dockerfile docker