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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DEP AIWorks is an innovative AI platform created by DEP, aimed at revolutionizing the engineering process from conception through development and optimization. This platform sits at the crossroads of engineering knowledge and state-of-the-art AI/ML technologies, empowering organizations to speed up product development, improve decision-making, and foster large-scale innovation. By integrating smoothly with current engineering workflows, DEP AIWorks facilitates intelligent automation throughout design, simulation, and analysis tasks. It encompasses advanced features such as smart pre-processing, parametric modeling, predictive insights, and optimization, ultimately delivering enhanced efficiency, precision, and responsiveness in CAE-driven engineering. Prioritizing scalability and practical applications, DEP AIWorks caters to a variety of industries including automotive, aerospace, and industrial equipment, among others. As a result, engineering teams benefit from reduced development timelines, heightened performance, and the ability to make informed, data-driven decisions with certainty. This platform not only enhances productivity but also paves the way for future technological advancements in engineering.

Description

MLBox is an advanced Python library designed for Automated Machine Learning. This library offers a variety of features, including rapid data reading, efficient distributed preprocessing, comprehensive data cleaning, robust feature selection, and effective leak detection. It excels in hyper-parameter optimization within high-dimensional spaces and includes cutting-edge predictive models for both classification and regression tasks, such as Deep Learning, Stacking, and LightGBM, along with model interpretation for predictions. The core MLBox package is divided into three sub-packages: preprocessing, optimization, and prediction. Each sub-package serves a specific purpose: the preprocessing module focuses on data reading and preparation, the optimization module tests and fine-tunes various learners, and the prediction module handles target predictions on test datasets, ensuring a streamlined workflow for machine learning practitioners. Overall, MLBox simplifies the machine learning process, making it accessible and efficient for users.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

GitHub No 
Python No 

Integrations

GitHub Yes 
Python Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Detroit Engineered Products

Founded

1998

Country

United States

Website

www.depusa.com

Vendor Details

Company Name

Axel ARONIO DE ROMBLAY

Founded

2017

Website

mlbox.readthedocs.io/en/latest/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Engineering

2D Drawing No 
3D Modeling No 
Chemical Engineering No 
Civil Engineering No 
Collaboration No 
Design Analysis No 
Design Export No 
Document Management No 
Electrical Engineering No 
Mechanical Engineering No 
Mechatronics No 
Presentation Tools No 
Structural Engineering No 

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 

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