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Average Ratings 0 Ratings

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ease
features
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support

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Write a Review

Description

LiDAR360 is an all-encompassing software solution for processing and analyzing LiDAR point clouds, created by GreenValley International. This robust platform includes a variety of specialized modules designed to meet the needs of different sectors such as terrain analysis, forestry management, mining, and power line inspection. With the ability to process large volumes of data, it can manage over 300 GB of LiDAR information at once and features more than 10 sophisticated algorithms for point cloud processing. Among its primary capabilities are data preprocessing, filtering, classification of point clouds, generation of digital terrain and surface models, as well as 3D visualization. Additionally, LiDAR360 equips users with tools for segmenting individual trees, extracting forest parameters, and conducting regression analyses for biomass estimation, which significantly enhances the efficiency of forest resource assessments. In the mining sector, the software supports open-pit mine modeling, monitors volume changes, and provides detailed tunnel section analyses. Overall, LiDAR360 stands out as a versatile tool, capable of improving productivity and accuracy across various applications.

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

Screenshots View All

Integrations

GitHub No 
Python No 

Integrations

GitHub Yes 
Python Yes 

Pricing Details

$3,300 one-time payment
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

GreenValley International

Founded

2012

Country

United States

Website

www.greenvalleyintl.com/LiDAR360/

Vendor Details

Company Name

Axel ARONIO DE ROMBLAY

Founded

2017

Website

mlbox.readthedocs.io/en/latest/

Product Features

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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