MATLAB

MATLAB

The MathWorks
MatConvNet

MatConvNet

VLFeat
+

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About

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.

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 core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Modeling, simulation, and programming software that can be hosted in the cloud or on-premise

Audience

Anyone in need of a deep learning software

Audience

Developers interested in a beautiful but advanced programming language

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 4.7 / 5
ease 4.5 / 5
features 4.9 / 5
design 4.8 / 5
support 4.8 / 5

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The MathWorks
Founded: 1984
United States
www.mathworks.com

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

Python
Founded: 1991
www.python.org

Alternatives

Alternatives

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
DataMelt

DataMelt

jWork.ORG
LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
MATLAB

MATLAB

The MathWorks
RunMat

RunMat

Dystr

Categories

Categories

Categories

CAD Features

2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles

Engineering Features

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

Financial Risk Management Features

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

Simulation Features

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Deep Learning Features

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

Integrations

Aserto
Baz
Cegal Prizm
CodeArts
Doc Converter Pro
E6 TRITIUM
ERNIE X1
Feast
Figstack
IntelliCode
NVIDIA Brev
Ostinato
Pruna AI
Qodana
SAS Health
SigNoz
Synthient
Unify AI
Windsurf Editor
sbomify

Integrations

Aserto
Baz
Cegal Prizm
CodeArts
Doc Converter Pro
E6 TRITIUM
ERNIE X1
Feast
Figstack
IntelliCode
NVIDIA Brev
Ostinato
Pruna AI
Qodana
SAS Health
SigNoz
Synthient
Unify AI
Windsurf Editor
sbomify

Integrations

Aserto
Baz
Cegal Prizm
CodeArts
Doc Converter Pro
E6 TRITIUM
ERNIE X1
Feast
Figstack
IntelliCode
NVIDIA Brev
Ostinato
Pruna AI
Qodana
SAS Health
SigNoz
Synthient
Unify AI
Windsurf Editor
sbomify
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