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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

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 Not Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

MLReef
United States
www.mlreef.com

Company Information

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

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
DATAGYM

DATAGYM

eForce21
Keepsake

Keepsake

Replicate

Categories

Data Collaboration Supported
Machine Learning Supported

Categories

Machine Learning Supported

Integrations

DagsHub Not Supported
Databricks Not Supported
Docker Supported
Flower Not Supported
GLM-5.1 Not Supported
GLM-5.2 Not Supported
GLM-5.3 Not Supported
Guild AI Not Supported
Keepsake Not Supported
MLJAR Studio Not Supported
MXNet Supported
ModelOp Not Supported
NumPy Not Supported
PyTorch Supported
TensorFlow Supported
Thunder Compute Not Supported
Train in Data Not Supported
Ubuntu Supported
scikit-image Supported

Integrations

DagsHub Supported
Databricks Supported
Docker Not Supported
Flower Supported
GLM-5.1 Supported
GLM-5.2 Supported
GLM-5.3 Supported
Guild AI Supported
Keepsake Supported
MLJAR Studio Supported
MXNet Not Supported
ModelOp Supported
NumPy Supported
PyTorch Not Supported
TensorFlow Not Supported
Thunder Compute Supported
Train in Data Supported
Ubuntu Not Supported
scikit-image Not Supported
Claim MLReef and update features and information
Claim MLReef and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information