ML Kit

ML Kit

Google
+
+

Related Products

  • Google Cloud Speech-to-Text
    365 Ratings
    Visit Website
  • Google AI Studio
    26 Ratings
    Visit Website
  • Bitrise
    396 Ratings
    Visit Website
  • Teradata VantageCloud
    1,120 Ratings
    Visit Website
  • RunPod
    211 Ratings
    Visit Website
  • Resco Mobile App Development Toolkit
    2 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,016 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Sendbird
    164 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    967 Ratings
    Visit Website

About

ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Make your iOS and Android apps more engaging, personalized, and helpful with solutions that are optimized to run on device. ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device. Take advantage of the machine learning technologies that power Google's own experiences on mobile. We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps. Recognizes handwritten text and handdrawn shapes on a digital surface, such as a touch screen. Recognizes 300+ languages, emojis and basic shapes.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning solution for mobile developers

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
developers.google.com/ml-kit

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Core ML

Core ML

Apple

Alternatives

Gensim

Gensim

Radim Řehůřek
Create ML

Create ML

Apple
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

Androidfy
DagsHub
Databricks
Firebase
Flower
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Thunder Compute
Train in Data

Integrations

Androidfy
DagsHub
Databricks
Firebase
Flower
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
NumPy
Python
Thunder Compute
Train in Data
Claim ML Kit and update features and information
Claim ML Kit and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information