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Average Ratings 0 Ratings
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.
Description
This software suite encompasses the design of crosshole surveys, model construction, data preprocessing, CDP transformation, tomography, wave-equation migration, and post-processing functionalities. It provides a comprehensive set of tools essential for executing a crosshole seismic undertaking efficiently. The model incorporates P- and S-wave velocities, density measurements, and anisotropic characteristics. Users have the flexibility to generate complex velocity models that can include layers, structures, and faults. Additionally, it employs acoustic, elastic, and anisotropic finite-difference methods to enable full wavefield simulations, ensuring high accuracy and versatility in seismic analysis. This extensive set of features makes it an indispensable resource for geophysical professionals.
API Access
Has API
API Access
Has API
Integrations
GitHub
Python
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
Axel ARONIO DE ROMBLAY
Founded
2017
Website
mlbox.readthedocs.io/en/latest/
Vendor Details
Company Name
GeoTomo
Website
geotomo.com/TOMOXPro.dmx
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization