MatConvNet

MatConvNet

VLFeat
+

Related Products

  • Qloo
    23 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • NINJIO
    411 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    373 Ratings
    Visit Website
  • Frontegg
    374 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • CLEAR
    1 Rating
    Visit Website
  • Lenso.ai
    2 Ratings
    Visit Website

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

NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly.

About

Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.

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

Anyone in need of a deep learning software

Audience

Organizations looking for a powerful Physics Machine Learning platform

Audience

Python developers seeking a tool to build applications

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

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

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

Review this Software

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

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/modulus

Company Information

Wingware
Founded: 1999
United States
wingware.com

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group

Alternatives

DataMelt

DataMelt

jWork.ORG
MATLAB

MATLAB

The MathWorks
COMSOL Multiphysics

COMSOL Multiphysics

Comsol Group
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation

Categories

Categories

Categories

Deep Learning Features

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

Application Development Features

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Integrations

Amazon Web Services (AWS)
Apache Subversion
C++
Django
Docker
Eclipse IDE
Emacs
Flask
Git
MATLAB
Mercurial
P4
Python
Raspberry Pi OS
Spyder
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode

Integrations

Amazon Web Services (AWS)
Apache Subversion
C++
Django
Docker
Eclipse IDE
Emacs
Flask
Git
MATLAB
Mercurial
P4
Python
Raspberry Pi OS
Spyder
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode

Integrations

Amazon Web Services (AWS)
Apache Subversion
C++
Django
Docker
Eclipse IDE
Emacs
Flask
Git
MATLAB
Mercurial
P4
Python
Raspberry Pi OS
Spyder
Vagrant
Visual Studio
Visual Studio Code
Wing
Xcode
Claim MatConvNet and update features and information
Claim MatConvNet and update features and information
Claim NVIDIA Modulus and update features and information
Claim NVIDIA Modulus and update features and information
Claim Wing Python IDE and update features and information
Claim Wing Python IDE and update features and information