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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MLReef allows domain specialists and data scientists to collaborate securely through a blend of coding and no-coding methods. This results in a remarkable 75% boost in productivity, as teams can distribute workloads more effectively. Consequently, organizations are able to expedite the completion of numerous machine learning projects. By facilitating collaboration on a unified platform, MLReef eliminates all unnecessary back-and-forth communication. The system operates on your premises, ensuring complete reproducibility and continuity of work, allowing for easy rebuilding whenever needed. It also integrates with established git repositories, enabling the creation of AI modules that are not only explorative but also versioned and interoperable. The AI modules developed by your team can be transformed into user-friendly drag-and-drop components that are customizable and easily managed within your organization. Moreover, handling data often necessitates specialized expertise that a single data scientist might not possess, making MLReef an invaluable asset by empowering field experts to take on data processing tasks, which simplifies complexities and enhances overall workflow efficiency. This collaborative environment ensures that all team members can contribute to the process effectively, further amplifying the benefits of shared knowledge and skill sets.

Description

Effortlessly branch, review, and merge your data while enjoying the benefits of complete historical tracking and recoverability. Maintain synchronization between your code and data to ensure consistent development and reliable reproducibility. Centralize the automation of reports, access audits, and metadata management for ease of use across your team. XetHub is perfectly suited for groups already utilizing Git for code management who wish to harness the advantages of infinite history, pull requests, and difference-based tracking for larger assets like datasets or media files. By employing familiar Git workflows, managing entire projects becomes straightforward, simplifying change tracking and facilitating continuous integration, particularly for processes that generate or enhance assets through code. This approach not only improves collaboration but also enhances overall project efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
Git
Keras
MXNet
PyTorch
TensorFlow
Ubuntu
scikit-image

Integrations

Docker
Git
Keras
MXNet
PyTorch
TensorFlow
Ubuntu
scikit-image

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MLReef

Country

United States

Website

www.mlreef.com

Vendor Details

Company Name

XetHub

Founded

2021

Country

United States

Website

xetdata.com

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Code Collaboration

Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing

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