Audience

Professionals, developers, and anyone looking for a machine learning library to optimize algorithms and neural networks

About SHARK

SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. It serves as a powerful toolbox for real-world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License. Shark provides an excellent trade-off between flexibility and ease-of-use on the one hand, and computational efficiency on the other. Shark offers numerous algorithms from various machine learning and computational intelligence domains in a way that they can be easily combined and extended. Shark comes with a lot of powerful algorithms that are to our best knowledge not implemented in any other library.

Integrations

No integrations listed.

Ratings/Reviews

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Company Information

SHARK
Founded: 2018
image.diku.dk/shark/sphinx_pages/build/html/index.html

Videos and Screen Captures

SHARK Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

SHARK Frequently Asked Questions

Q: What kinds of users and organization types does SHARK work with?
Q: What languages does SHARK support in their product?
Q: What type of training does SHARK provide?

SHARK Product Features

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported