ML.NET

ML.NET

Microsoft
+
+

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About

ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.

About

Sensiml analytics toolkit. Create smart iot sensor devices rapidly reduce data science complexity. Create compact algorithms that execute on tiny IoT endpoints, not in the cloud. Collect accurate, traceable, version controlled datasets. Utilize advanced AutoML code-gen to quickly produce autonomous working device code. Choose your interface, level of AI expertise, and retain full access to every aspect of your algorithm. Build edge tuning models that that customize behavior as they see more data. SensiML Analytics Toolkit suite automates each step of the process for creating optimized AI IoT sensor recognition code. The overall workflow uses a growing library of advanced ML and AI algorithms to generate code that can learn from new data either the development phase or once deployed. Non-invasive, rapid disease screening applications utilizing intelligent classification of one or more bio-sensing inputs are critical tools for healthcare decision support.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

.NET developers searching for a tool to incorporate machine learning capabilities into their applications using familiar languages and tools

Audience

For users without data science expertises looking for a stand-alone machine learning software

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Company Information

SensiML
Founded: 2017
United States
sensiml.com

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Apache Mahout

Apache Mahout

Apache Software Foundation
ML.NET

ML.NET

Microsoft

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow

Integrations

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow
Claim ML.NET and update features and information
Claim ML.NET and update features and information
Claim SensiML Analytics Studio and update features and information
Claim SensiML Analytics Studio and update features and information