AI TOOL PROFILE

GraphLab Create (Turi Create)

Turi Create supports software companies in developing custom machine learning models. It may be useful for teams looking to deploy models to Apple platforms.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Software Companies, Apple Platform Developers, Python Developers
Key use cases
Personalized Recommendations, Image and Object Recognition, Audio and Sensor Analysis, Text Sentiment Analysis
Visit GraphLab CreateGraphLab Create software interface screenshot

How AI is used

Turi Create is a machine learning library that supports the development of custom models for tasks including object detection and sentiment analysis. It is designed to allow users to focus on the task rather than the underlying algorithms.

The library is intended for developers building applications that require AI capabilities. It supports data types including text, images, audio, video, and sensor data, and is designed to work with large datasets on a single machine.

Users can export models to Core ML for deployment on iOS, macOS, watchOS, and tvOS. The library is compatible with macOS, Linux, and Windows via WSL, provided the system meets the specific Python and RAM requirements.

Buyers should note that the GitHub repository was archived in December 2023 and is now read-only.

Key Features

  • Custom Model Development

    Supports the creation of ML models including recommenders, classifiers, and regression models.

  • Core ML Export

    Supports exporting models for deployment in Apple ecosystem apps such as iOS, macOS, watchOS, and tvOS.

  • Multi-Platform Support

    Compatible with macOS 10.12+, Linux with glibc 2.10+, and Windows 10 via WSL.

  • Visual Data Exploration

    Includes built-in streaming visualizations to help users explore datasets.

  • GPU Acceleration

    Optional GPU support that may accelerate certain models; support is automatic on macOS.

Use Cases

  • Personalized Recommendations

    Developing recommender models to personalize choices for application users.

  • Image and Object Recognition

    Building models for image classification, object detection, and image similarity analysis.

  • Audio and Sensor Analysis

    Creating tools for sound classification and detecting activities using sensor data.

  • Text Sentiment Analysis

    Using text classifiers to analyze the sentiment of messages.

FAQ

What platforms does Turi Create support?

It supports macOS 10.12+, Linux with glibc 2.10+, and Windows 10 via WSL.

Do I need a GPU to use Turi Create?

A GPU is not required, but using one may accelerate certain models. Support is automatic on macOS.

Can I deploy Turi Create models to an iPhone app?

Yes, the tool supports exporting models to Core ML for use in iOS, macOS, watchOS, and tvOS applications.

What are the system requirements for Turi Create?

It requires x86_64 architecture, at least 4 GB of RAM, and Python versions 2.7 or 3.5 through 3.8.

Source category: Software Development

Source subcategory: Machine Learning Framework

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