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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.
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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.
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About
Industry-standard models built-in with support for designing and sharing your own models. XLfit® is a Microsoft® Excel add-in for Windows that brings the power of scientific mathematics and statistics to Excel, together with supporting charting capabilities. XLfit is the leading statistical and curve fitting package for Excel and is used by the world’s leading pharmaceutical, chemical, engineering industries, and research institutions and is validated by the National Physical Laboratory (NPL). There are over 70 out-of-the-box models for both linear and nonlinear curve fitting available in XLfit, including all commonly used models for describing data from drug discovery-related experiments. An unlimited number of custom or user-defined models may be added. Linear and nonlinear modelling, interactive 3D and 2D charting, automatic and interactive point knock out. Features every scientist needs out of the box.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Anyone in need of a deep learning software
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Audience
Developers interested in a beautiful but advanced programming language
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Audience
Companies searching for a solution to manage scientific mathematics and statistics operations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationVLFeat
United States
www.vlfeat.org/matconvnet/
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Company InformationPython
Founded: 1991
www.python.org
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Company InformationIDBS
Founded: 1989
United Kingdom
www.idbs.com/xlfit/
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Categories |
Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
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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
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Integrations
.NET Aspire
Activeeon ProActive
Amazon SageMaker Model Building
AppMap
Casbin
Daft
DeepSeek R1
Flower
JAX
KDevelop
|
Integrations
.NET Aspire
Activeeon ProActive
Amazon SageMaker Model Building
AppMap
Casbin
Daft
DeepSeek R1
Flower
JAX
KDevelop
|
Integrations
.NET Aspire
Activeeon ProActive
Amazon SageMaker Model Building
AppMap
Casbin
Daft
DeepSeek R1
Flower
JAX
KDevelop
|
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