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ease
features
design
support

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Description

Harnessing cutting-edge open-source AutoML technology, we facilitate the creation of high-quality models effortlessly. This system incorporates Deep Learning and pre-trained models to enhance intelligence wherever relevant. By employing Causal AI alongside AutoML, it ensures fairness, supports causal inference, and provides counterfactual predictions. Each trained model can be deployed instantly for interactive online use or through an API, making it accessible to all users. Additionally, it offers comprehensive insights into feature importances and model explanations through Shapley values. Our AI engine operates entirely on an open-source framework, allowing for complete transparency and universal applicability of our algorithms. It effectively groups customers or products into similar cohorts based on an extensive array of features. Furthermore, it predicts future outcomes by identifying temporal patterns in historical data and is capable of training predictive models using labeled data to make predictions on unlabeled datasets, thereby enhancing its overall utility and performance.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

$80 per user per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Actable AI

Founded

2020

Country

United Kingdom

Website

www.actable.ai/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Product 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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