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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

ML.NET is a versatile, open-source machine learning framework that is free to use and compatible across platforms, enabling .NET developers to create tailored machine learning models using C# or F# while remaining within the .NET environment. This framework encompasses a wide range of machine learning tasks such as classification, regression, clustering, anomaly detection, and recommendation systems. Additionally, ML.NET seamlessly integrates with other renowned machine learning frameworks like TensorFlow and ONNX, which broadens the possibilities for tasks like image classification and object detection. It comes equipped with user-friendly tools such as Model Builder and the ML.NET CLI, leveraging Automated Machine Learning (AutoML) to streamline the process of developing, training, and deploying effective models. These innovative tools automatically analyze various algorithms and parameters to identify the most efficient model for specific use cases. Moreover, ML.NET empowers developers to harness the power of machine learning without requiring extensive expertise in the field.

Description

We have created a deep learning algorithm inspired by neuro-biology that functions similarly to an intelligence assessment. This innovative tool autonomously identifies and forecasts patterns, enabling the effortless construction of smart applications. Our user-friendly software features a clear and concise REST API, making it possible to develop intelligent applications across various environments. Consequently, you can seamlessly integrate it with JavaScript applications, spreadsheets, and even your online trading platforms. For development and testing purposes, our service is completely free to use. The community edition is available as open-source under the SSPL license. The Vanillatech ML Workstation provides ready-to-use software that operates on your local computer. Should you need any modifications or additional support, please reach out to us for a customized proposal tailored to your needs. With our commitment to accessibility and support, we aim to empower developers at every skill level.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
AWS Marketplace No 
Bing Yes 
C# Yes 
F# Yes 
Google Cloud AutoML Yes 
Microsoft Defender Antivirus Yes 
Microsoft Outlook Yes 
Microsoft Power BI Yes 
ONNX Yes 
TensorFlow Yes 

Integrations

.NET No 
AWS Marketplace Yes 
Bing No 
C# No 
F# No 
Google Cloud AutoML No 
Microsoft Defender Antivirus No 
Microsoft Outlook No 
Microsoft Power BI No 
ONNX No 
TensorFlow No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Vanillatech

Founded

2018

Country

Germany

Website

timeseriesforecasting.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

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