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What is TOMOXPro?

This software suite includes functionalities for designing crosshole surveys, constructing models, preprocessing data, performing CDP transformations, conducting tomography, executing wave-equation migration, and carrying out post-processing tasks. It serves as a vital toolkit for efficiently executing crosshole seismic projects, offering a wide range of necessary tools. The model integrates measurements of P- and S-wave velocities, density, and anisotropic properties, allowing users to create intricate velocity models that may consist of various layers, geological structures, and faults. Furthermore, it utilizes acoustic, elastic, and anisotropic finite-difference methods to facilitate comprehensive wavefield simulations, which guarantees both precision and flexibility in seismic evaluations. This broad array of functionalities not only enhances the capabilities of geophysical professionals but also significantly contributes to the advancement of seismic research and exploration methodologies. As a result, it stands out as an essential asset for anyone involved in the field.

What is MLBox?

MLBox is a sophisticated Python library tailored for Automated Machine Learning, providing a multitude of features such as swift data ingestion, effective distributed preprocessing, thorough data cleansing, strong feature selection, and precise leak detection. It stands out with its capability for hyper-parameter optimization in complex, high-dimensional environments and incorporates state-of-the-art predictive models for both classification and regression, including techniques like Deep Learning, Stacking, and LightGBM, along with tools for interpreting model predictions. The main MLBox package is organized into three distinct sub-packages: preprocessing, optimization, and prediction, each designed to fulfill specific functions: the preprocessing module is dedicated to data ingestion and preparation, the optimization module experiments with and refines various learners, and the prediction module is responsible for making predictions on test datasets. This structured approach guarantees a smooth workflow for machine learning professionals, enhancing their productivity. In essence, MLBox streamlines the machine learning journey, rendering it both user-friendly and efficient for those seeking to leverage its capabilities.

Media

Media

Integrations Supported

GitHub
Python

Integrations Supported

GitHub
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GeoTomo

Company Website

geotomo.com/TOMOXPro.dmx

Company Facts

Organization Name

Axel ARONIO DE ROMBLAY

Date Founded

2017

Company Website

mlbox.readthedocs.io/en/latest/

Categories and Features

Categories and Features

Machine Learning

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

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