Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
DATAGYM empowers data scientists and machine learning professionals to annotate images at speeds that are ten times quicker than traditional methods. The use of AI-driven annotation tools minimizes the manual effort required, allowing for more time to refine machine learning models and enhancing the speed at which new products are launched. By streamlining data preparation, you can significantly boost the efficiency of your computer vision initiatives, reducing the time required by as much as half. This not only accelerates project timelines but also facilitates a more agile approach to innovation in the field.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon S3
No
Docker
Yes
Keras
Yes
MXNet
Yes
PyTorch
Yes
TensorFlow
Yes
Ubuntu
Yes
scikit-image
Yes
Integrations
Amazon S3
Yes
Docker
No
Keras
No
MXNet
No
PyTorch
No
TensorFlow
No
Ubuntu
No
scikit-image
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$19.00/month/user
Tiered Pricing Model with the Developer plan costing $0 a month.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
MLReef
Country
United States
Website
www.mlreef.com
Vendor Details
Company Name
eForce21
Founded
2019
Country
Germany
Website
www.datagym.ai/
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
No
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Visualization
Analytics
Yes
Content Management
Yes
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
Yes
Simulation Models
No
Visual Discovery
Yes
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
No
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
No
Visualization
Yes
Machine Learning
Deep Learning
Yes
ML Algorithm Library
No
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
No
Visualization
Yes