Neural Network Intelligence

{{Short description|Microsoft open source library}}

{{Infobox software

| name = NNI (Neural Network Intelligence)

| logo = Neural_Network_Intelligence_logo.svg

| screenshot =

| screenshot size =

| caption =

| author = Microsoft Research

| developer = Microsoft

| released = {{Start date and age|2018}}{{Cite web|url=https://github.com/microsoft/nni/releases/tag/v0.1|title=Tags · microsoft/nni · GitHub|website=GitHub|date=10 September 2021}}

| latest release version = v2.10{{Cite web|url=https://github.com/microsoft/nni/tags|title=Tags · microsoft/nni · GitHub|website=GitHub|date=28 June 2022}}

| latest release date = {{Start date and age|2022|11|14}}

| repo = {{URL|https://github.com/microsoft/nni}}

| programming language = Python

| operating system = Windows, macOS, Ubuntu

| platform = Cross-platform

| genre = AutoML toolkit

| license = MIT License

| website = {{URL|https://nni.readthedocs.io/}}

}}

NNI (Neural Network Intelligence) is a free and open-source AutoML toolkit developed by Microsoft.{{Cite journal|title=Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence|first1=Sebastian|last1=Raschka|first2=Joshua|last2=Patterson|first3=Corey|last3=Nolet|date=April 11, 2020|journal=Information|volume=11|issue=4|pages=193|doi=10.3390/info11040193|arxiv=2002.04803|doi-access=free}}{{Cite web|url=http://www.bizety.com/2020/06/16/open-source-automl-tools-autogluon-transmogrifai-auto-sklearn-and-nni/|title=Open Source AutoML Tools: AutoGluon, TransmogrifAI, Auto-sklearn, and NNI|website=Bizety|date=June 16, 2020}} It is used to automate feature engineering, model compression, neural architecture search, and hyper-parameter tuning.{{Cite web|url=https://www.infoworld.com/article/3430788/automated-machine-learning-or-automl-explained.html|title=Automated machine learning or AutoML explained|first=Martin|last=Heller|date=August 21, 2019|website=InfoWorld}}{{Cite web|url=https://www.freecodecamp.org/news/15-undiscovered-open-source-machine-learning-frameworks-you-need-to-know-in-2020/|title=15 Undiscovered & Open Source Machine Learning Frameworks You Need to Know in 2020.|date=June 4, 2020|website=freeCodeCamp.org}}

The source code is licensed under MIT License and available on GitHub.{{Cite web|url=https://github.com/microsoft/nni|title=microsoft/nni|date=August 11, 2020|via=GitHub}}