+
+

Related Products

  • Google Cloud Speech-to-Text
    374 Ratings
    Visit Website
  • Vertex AI
    713 Ratings
    Visit Website
  • RunPod
    133 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,731 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • BytePlus Recommend
    1 Rating
    Visit Website
  • Google AI Studio
    4 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google Cloud Platform
    56,309 Ratings
    Visit Website

About

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data.

About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

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

Anyone who wants to train high-quality custom machine learning models with minimal effort and machine learning expertise

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

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

No information available.
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
cloud.google.com/automl

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Vertex AI

Vertex AI

Google

Alternatives

Union Cloud

Union Cloud

Union.ai
Vertex AI

Vertex AI

Google

Categories

Categories

Integrations

Google Cloud Platform
AWS Marketplace
Apolo
Aporia
B2Metric
Dataiku
Elastic Observability
Keras
ML.NET
Modulos AI Governance Platform
RapidSOS
Superwise
TensorFlow
UbiOps
Unity Catalog
Vectice
lakeFS
luminoth
neptune.ai

Integrations

Google Cloud Platform
AWS Marketplace
Apolo
Aporia
B2Metric
Dataiku
Elastic Observability
Keras
ML.NET
Modulos AI Governance Platform
RapidSOS
Superwise
TensorFlow
UbiOps
Unity Catalog
Vectice
lakeFS
luminoth
neptune.ai
Claim Google Cloud AutoML and update features and information
Claim Google Cloud AutoML and update features and information
Claim MLflow and update features and information
Claim MLflow and update features and information