Average Ratings 10 Ratings

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Average Ratings 0 Ratings

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Description

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amira Software Yes 
Azure Marketplace Yes 
BLACKBOX AI Yes 
Code Metal Yes 
Codebeamer Yes 
Devika Yes 
Domino Enterprise AI Platform Yes 
EASA Yes 
FEATool Multiphysics Yes 
Geany Yes 
Google AI Studio Yes 
Macrobond Yes 
Overleaf Yes 
PMD Yes 
Saasment Yes 
Snipplr Yes 
Syndeia Yes 
ThingSpeak Yes 
Webots Yes 
Wing Python IDE Yes 

Integrations

Amira Software No 
Azure Marketplace No 
BLACKBOX AI No 
Code Metal No 
Codebeamer No 
Devika No 
Domino Enterprise AI Platform No 
EASA No 
FEATool Multiphysics No 
Geany No 
Google AI Studio No 
Macrobond No 
Overleaf No 
PMD No 
Saasment No 
Snipplr No 
Syndeia No 
ThingSpeak No 
Webots No 
Wing Python IDE No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
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 Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

The MathWorks

Founded

1984

Country

United States

Website

www.mathworks.com

Vendor Details

Company Name

VLFeat

Country

United States

Website

www.vlfeat.org/matconvnet/

Product Features

CAD

2 1/2-Axis Milling No 
2D Drawing Yes 
3-Axis Milling No 
3D Modeling Yes 
4-Axis Milling No 
5-Axis Milling No 
Civil Yes 
Collaboration Yes 
Database Connectivity No 
Design Analysis Yes 
Design Export Yes 
Document Management Yes 
Electrical Yes 
Hole Making No 
Mechanical Yes 
Mechatronics Yes 
Presentation Tools Yes 
Simulate Cycles No 
Spiral Output No 
Structural Engineering No 
Toolpath Simulation No 
User Defined Cycles No 

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility No 
Finite Element Analysis No 
Fluid Dynamics No 
Import / Export Files No 
Integrated 3D Modeling No 
Manufacturing Process Simulation No 
Mechanical Event Simulation No 
Multibody Dynamics No 
Thermal Analysis No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Engineering

2D Drawing Yes 
3D Modeling No 
Chemical Engineering No 
Civil Engineering No 
Collaboration Yes 
Design Analysis No 
Design Export No 
Document Management Yes 
Electrical Engineering No 
Mechanical Engineering No 
Mechatronics No 
Presentation Tools Yes 
Structural Engineering No 

Financial Risk Management

Compliance Management No 
Credit Risk Management No 
For Hedge Funds Yes 
Liquidity Analysis No 
Loan Portfolio Management No 
Market Risk Management No 
Operational Risk Management No 
Portfolio Management No 
Portfolio Modeling No 
Risk Analytics Benchmarks No 
Stress Tests No 
Value At Risk Calculation No 

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Predictive Analytics

AI / Machine Learning No 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation No 
Sentiment Analysis No 

Simulation

1D Simulation No 
3D Modeling Yes 
3D Simulation No 
Agent-Based Modeling Yes 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database Yes 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools Yes 
Stochastic Modeling No 
Turbulence Modeling Yes 

Statistical Analysis

Analytics No 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Alternatives

Alternatives

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