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What is ML.NET?

ML.NET is a flexible and open-source machine learning framework that is free and designed to work across various platforms, allowing .NET developers to build customized machine learning models utilizing C# or F# while staying within the .NET ecosystem. This framework supports an extensive array of machine learning applications, including classification, regression, clustering, anomaly detection, and recommendation systems. Furthermore, ML.NET offers seamless integration with other established machine learning frameworks such as TensorFlow and ONNX, enhancing the ability to perform advanced tasks like image classification and object detection. To facilitate user engagement, it provides intuitive tools such as Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the development, training, and deployment of robust models. These cutting-edge tools automatically assess numerous algorithms and parameters to discover the most effective model for particular requirements. Additionally, ML.NET enables developers to tap into machine learning capabilities without needing deep expertise in the area, making it an accessible choice for many. This broadens the reach of machine learning, allowing more developers to innovate and create solutions that leverage data-driven insights.

What is Huawei Cloud ModelArts?

ModelArts, a comprehensive AI development platform provided by Huawei Cloud, is designed to streamline the entire AI workflow for developers and data scientists alike. The platform includes a robust suite of tools that supports various stages of AI project development, such as data preprocessing, semi-automated data labeling, distributed training, automated model generation, and deployment options that span cloud, edge, and on-premises environments. It works seamlessly with popular open-source AI frameworks like TensorFlow, PyTorch, and MindSpore, while also allowing the incorporation of tailored algorithms to suit specific project needs. By offering an end-to-end development pipeline, ModelArts enhances collaboration among DataOps, MLOps, and DevOps teams, significantly boosting development efficiency by as much as 50%. Additionally, the platform provides cost-effective AI computing resources with diverse specifications, which facilitate large-scale distributed training and expedite inference tasks. This adaptability ensures that organizations can continuously refine their AI solutions to address changing business demands effectively. Overall, ModelArts positions itself as a vital tool for any organization looking to harness the power of artificial intelligence in a flexible and innovative manner.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Company Facts

Organization Name

Huawei Cloud

Date Founded

1987

Company Location

China

Company Website

www.huaweicloud.com/intl/en-us/product/modelarts.html

Categories and Features

Machine Learning

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

Categories and Features

Machine Learning

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

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