MatConvNet

MatConvNet

VLFeat
Modelscape

Modelscape

MathWorks
+
+

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About

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.

About

The Modelscape solution enables financial institutions to reduce the complexity of managing the lifecycle of financial models while improving model documentation, transparency, and compliance. By implementing the solution throughout the model lifecycle, you can use templated model workflows, automated documentation, and artifact linking. Scale algorithms, models, and apps both horizontally and vertically. Provide support for enterprise infrastructure, tooling, and languages such as Python, R, SAS, and MATLAB. Track issues across the model lifecycle with full model lineage, issue, and usage reporting. Use the executive dashboard for model data, custom algorithm execution, automated workflows, and web-based access to a comprehensive, auditable inventory of all models and dependencies. Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone in need of a deep learning software

Audience

Financial institutions wanting a tool to develop, validate, implement, and monitor models across business lines

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

MathWorks
United States
www.mathworks.com/solutions/finance-and-risk-management/modelscape.html

Alternatives

Alternatives

Focus

Focus

Paragon Business Solutions
DataMelt

DataMelt

jWork.ORG
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
MATLAB

MATLAB

The MathWorks

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

MATLAB
Python
R
SAS Analytics Pro

Integrations

MATLAB
Python
R
SAS Analytics Pro
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