NNI (Neural Network Intelligence) is a free and open-source AutoML toolkit developed by Microsoft. It is used to automate feature engineering, model compression, neural architecture search, and hyper-parameter tuning.
The source code is licensed under MIT License and available on GitHub.
See also
Further reading
- Gridin, Ivan (2022). Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python. Apress. ISBN 978-1484281482.
External links
References
Raschka, Sebastian; Patterson, Joshua; Nolet, Corey (April 11, 2020). "Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence". Information. 11 (4): 193. arXiv:2002.04803. doi:10.3390/info11040193. https://doi.org/10.3390%2Finfo11040193 ↩
"Open Source AutoML Tools: AutoGluon, TransmogrifAI, Auto-sklearn, and NNI". Bizety. June 16, 2020. http://www.bizety.com/2020/06/16/open-source-automl-tools-autogluon-transmogrifai-auto-sklearn-and-nni/ ↩
Heller, Martin (August 21, 2019). "Automated machine learning or AutoML explained". InfoWorld. https://www.infoworld.com/article/3430788/automated-machine-learning-or-automl-explained.html ↩
"15 Undiscovered & Open Source Machine Learning Frameworks You Need to Know in 2020". freeCodeCamp.org. June 4, 2020. https://www.freecodecamp.org/news/15-undiscovered-open-source-machine-learning-frameworks-you-need-to-know-in-2020/ ↩
"microsoft/nni". August 11, 2020 – via GitHub. https://github.com/microsoft/nni ↩