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Description
The VLFeat open source library offers a range of well-known algorithms focused on computer vision, particularly for tasks such as image comprehension and the extraction and matching of local features. Among its various algorithms are Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, the agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, and large scale SVM training, among many others. Developed in C to ensure high performance and broad compatibility, it also has MATLAB interfaces that enhance user accessibility, complemented by thorough documentation. This library is compatible with operating systems including Windows, Mac OS X, and Linux, making it widely usable across different platforms. Additionally, MatConvNet serves as a MATLAB toolbox designed specifically for implementing Convolutional Neural Networks (CNNs) tailored for various computer vision applications. Known for its simplicity and efficiency, MatConvNet is capable of running and training cutting-edge CNNs, with numerous pre-trained models available for tasks such as image classification, segmentation, face detection, and text recognition. The combination of these tools provides a robust framework for researchers and developers in the field of computer vision.
Description
g.BSanalyze serves as an engaging platform designed for the processing and examination of multimodal biosignal data, primarily aimed at clinical research and life sciences. Having been available for over two decades, it has gained traction in more than 70 countries worldwide. This software stands out as the most extensive toolkit for analyzing both non-invasive and invasive functions and dysfunctions of the brain, heart, and muscles. Its excellence has been recognized with multiple international awards. The latest version boasts a plethora of new features, including topographic plots, Canonical Correlation Analysis (CCA), advanced filtering options, a cortiQ file importer, enhancements for Result2D, tools for Cortico-Cortical Evoked Potentials, as well as dedicated toolboxes for electrocorticography (ECoG) and transcranial magnetic stimulation (TMS), among others. Additionally, the package includes numerous sample biosignal datasets, such as those for P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, event-related potentials (EPs), multi-unit activity, continuous flow magnetic (CFM), cortico-cortical evoked potentials (CCEP), and ERD/ERS. Furthermore, it features an interactive and user-friendly graphical interface tailored for the analysis and documentation of EEG, ECoG, EOG, EMG, ECG, spike data, and various physical datasets, all within the MATLAB environment. Overall, g.BSanalyze offers a comprehensive solution for researchers and practitioners seeking to delve into the complexities of biosignal analysis.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.02/one-time
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
VLFeat
Country
United States
Website
www.vlfeat.org/matconvnet/
Vendor Details
Company Name
Guger Technologies
Country
Austria
Website
www.gtec.at/product/gbsanalyze/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning