https://github.com/sethjuarez/numl
Machine Learning for .NET
https://github.com/sethjuarez/numl
Last synced: about 1 month ago
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Machine Learning for .NET
- Host: GitHub
- URL: https://github.com/sethjuarez/numl
- Owner: sethjuarez
- License: mit
- Created: 2012-02-21T17:43:32.000Z (over 13 years ago)
- Default Branch: master
- Last Pushed: 2018-11-10T04:19:32.000Z (about 7 years ago)
- Last Synced: 2024-05-06T08:34:57.996Z (over 1 year ago)
- Language: C#
- Homepage: http://numl.net
- Size: 36.1 MB
- Stars: 429
- Watchers: 77
- Forks: 105
- Open Issues: 14
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-dot-dev - numl - Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. (Machine Learning and Data Science)
- awsome-dotnet - numl - Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. (Machine Learning and Data Science)
- awesome-csharp - numl - Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. (Machine Learning and Data Science)
- awesome-dotnet-cn - numl - 包含最流行的监督学习和无监督学习算法，尽量减少创建预测模型时的冲突。 (机器学习和数据科学)
- awesome-dotnet - numl - Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. (Machine Learning and Data Science)
- awesome-dotnet - numl - Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. (Machine Learning and Data Science)
README
# Project Description
[](https://gitter.im/sethjuarez/numl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
This library is designed to assist in the use of common Machine Learning Algorithms in conjunction with the .NET platform.
It is designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved
with creating the predictive models.
# Contributing
I would love to take contributions! Please read [this](https://guides.github.com/activities/contributing-to-open-source/).
# Learn More
More details can be found at the project website: [http://numl.net](http://numl.net "numl.net").