MatConvNet

MatConvNet

VLFeat
+
+

Related Products

  • Qloo
    23 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • PackageX OCR Scanning
    48 Ratings
    Visit Website
  • Rise Vision
    1,534 Ratings
    Visit Website
  • Grafana Cloud
    860 Ratings
    Visit Website
  • rezStream Cloud PMS
    126 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

RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing .m files with complete MATLAB language grammar and core semantics. No license fees, no lock-in. 300+ built-in functions supported. RunMat is built with a modern Rust runtime featuring a tiered execution model: an interpreter (Ignition) for instant 5ms startup and a JIT compiler (Turbine/Cranelift) for hot paths. GPU acceleration is automatic via a fusion engine that detects elementwise operation chains and dispatches them as optimized GPU kernels across NVIDIA, AMD, Apple Silicon, and Intel GPUs through Metal, DirectX 12, Vulkan, and WebGPU. Up to 131x faster than NumPy and 7x faster than PyTorch on dense numerical workloads. Runs everywhere: CLI, NPM package, Homebrew, Jupyter kernel, or instantly in the browser via WebAssembly + WebGPU. Single portable binary. MIT licensed.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Anyone in need of a deep learning software

Audience

Engineers, Scientists, Researchers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

VLFeat
United States
www.vlfeat.org/matconvnet/

Company Information

RunMat
Founded: 2022
United States
runmat.com

Alternatives

Alternatives

LiveLink for MATLAB

LiveLink for MATLAB

Comsol Group
MATLAB

MATLAB

The MathWorks
DataMelt

DataMelt

jWork.ORG
MATLAB

MATLAB

The MathWorks
TypeGPU

TypeGPU

Software Mansion

Categories

Deep Learning Supported

Categories

Deep Learning Features

Convolutional Neural Networks Supported
Document Classification Supported
Image Segmentation Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Not Supported

Computer-Aided Engineering (CAE) Features

CAD/CAM Compatibility Not Supported
Finite Element Analysis Not Supported
Fluid Dynamics Supported
Import / Export Files Supported
Integrated 3D Modeling Not Supported
Manufacturing Process Simulation Supported
Mechanical Event Simulation Supported
Multibody Dynamics Not Supported
Thermal Analysis Supported

Integrations

GitHub Not Supported
Jupyter Notebook Not Supported
MATLAB Not Supported
npm Not Supported

Integrations

GitHub Supported
Jupyter Notebook Supported
MATLAB Supported
npm Supported
Claim MatConvNet and update features and information
Claim MatConvNet and update features and information
Claim RunMat and update features and information
Claim RunMat and update features and information