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About

MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can use already well-known and established git repositories to create explorable, interoperable, and versioned AI modules. AI Modules created by your data scientists become drag-and-drop elements. These are adjustable by parameters, versioned, interoperable, and explorable within your entire organization. Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities.

About

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

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

Domain experts and data scientists requiring a tool to collaborate via pro-code and no-code development approaches

Audience

Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models

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

MLReef
United States
www.mlreef.com

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/

Alternatives

Alternatives

Kraken

Kraken

Big Squid
DATAGYM

DATAGYM

eForce21

Categories

Categories

Integrations

Apache Hive
Apache Spark
Docker
Impala
Keras
Kinetica
MXNet
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
PyTorch
TensorFlow
Ubuntu
scikit-image

Integrations

Apache Hive
Apache Spark
Docker
Impala
Keras
Kinetica
MXNet
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
PyTorch
TensorFlow
Ubuntu
scikit-image
Claim MLReef and update features and information
Claim MLReef and update features and information
Claim Oracle Machine Learning and update features and information
Claim Oracle Machine Learning and update features and information