ML.NET

ML.NET

Microsoft
ML.NET Rinalogy Classification API

Related Products

  • Gemini platform
    4.3 out of 5 stars 1,178 Ratings
    Visit Website for Gemini platform
  • Runpod
    4.2 out of 5 stars 230 Ratings
    Visit Website for Runpod
  • Anaconda
    4.4 out of 5 stars 626 Ratings
    Visit Website for Anaconda
  • Fraud.net
    4.7 out of 5 stars 57 Ratings
    Visit Website for Fraud.net
  • TIMi
    4.9 out of 5 stars 68 Ratings
    Visit Website for TIMi
  • Google AI Studio
    4.8 out of 5 stars 42 Ratings
    Visit Website for Google AI Studio
  • Compute with Hivenet
    5.0 out of 5 stars 4 Ratings
    Visit Website for Compute with Hivenet
  • Bright Data
    4.4 out of 5 stars 1,461 Ratings
    Visit Website for Bright Data
  • Qloo
    5.0 out of 5 stars 23 Ratings
    Visit Website for Qloo
  • Google Cloud Speech-to-Text
    4.5 out of 5 stars 446 Ratings
    Visit Website for Google Cloud Speech-to-Text
ML.NET:

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.
Rinalogy Classification API:

About

Rinalogy Classification API is a scalable machine learning service that can easily integrate with your application and run in your own environment. Unlike cloud machine learning APIs that run in an environment out of your control and require you to transfer all of your data, Rinalogy Classification API can be deployed in your IT infrastructure, close to your data and behind your firewall. Rinalogy Classification API performs Exhaustive Sequential Classification by applying models to all documents in the collection. Models are saved and can be improved with more training data or used to predict new documents later. Its scalable cluster deployment allows you to adjust the number of workers depending on your workload. Rinalogy API can be used to add text classification, search, and recommendation capabilities to a client application.
ML.NET:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Rinalogy Classification API:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
ML.NET:

Audience

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

Audience

Companies looking for a natural language processing platform
ML.NET:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
Rinalogy Classification API:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
ML.NET:

API

Offers API Not Supported
Rinalogy Classification API:

API

Offers API Supported
ML.NET:

Screenshots and Videos

Rinalogy Classification API:

Screenshots and Videos

ML.NET:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Rinalogy Classification API:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
ML.NET:

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
Rinalogy Classification API:

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
ML.NET:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported
Rinalogy Classification API:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
ML.NET:

Company Information

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

Company Information

RINA Systems
United States
www.rinasystems.com/product/rinalogy-api.html
ML.NET:

Alternatives

Rinalogy Classification API:

Alternatives

SentioAI

SentioAI

RINA Systems
ML.NET:
TensorFlow

TensorFlow

5.0 out of 5 stars
Rinalogy Classification API:
DeepNLP

DeepNLP

SparkCognition
ML.NET:
AWS Neuron

AWS Neuron

Amazon Web Services
Rinalogy Classification API:
ML.NET:
Rinalogy Classification API:
ML.NET:
Apache Mahout

Apache Mahout

Apache Software Foundation
Rinalogy Classification API:
ML.NET

ML.NET

Microsoft
ML.NET:

Categories

Rinalogy Classification API:

Categories

ML.NET:

Integrations

.NET Supported
Bing Supported
C# Supported
F# Supported
Google Cloud AutoML Supported
Microsoft Defender Antivirus Supported
Microsoft Outlook Supported
Microsoft Power BI Supported
ONNX Supported
TensorFlow Supported
Rinalogy Classification API:

Integrations

.NET Not Supported
Bing Not Supported
C# Not Supported
F# Not Supported
Google Cloud AutoML Not Supported
Microsoft Defender Antivirus Not Supported
Microsoft Outlook Not Supported
Microsoft Power BI Not Supported
ONNX Not Supported
TensorFlow Not Supported
ML.NET:
Claim ML.NET and update features and information
Claim ML.NET and update features and information
Rinalogy Classification API:
Claim Rinalogy Classification API and update features and information
Claim Rinalogy Classification API and update features and information