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Description
SHARK is a versatile and high-performance open-source library for machine learning, developed in C++. It encompasses a variety of techniques, including both linear and nonlinear optimization, kernel methods, neural networks, and more. This library serves as an essential resource for both practical applications and academic research endeavors. Built on top of Boost and CMake, SHARK is designed to be cross-platform, supporting operating systems such as Windows, Solaris, MacOS X, and Linux. It operates under the flexible GNU Lesser General Public License, allowing for broad usage and distribution. With a strong balance between flexibility, user-friendliness, and computational performance, SHARK includes a wide array of algorithms from diverse fields of machine learning and computational intelligence, facilitating easy integration and extension. Moreover, it boasts unique algorithms that, to the best of our knowledge, are not available in any other competing frameworks. This makes SHARK a particularly valuable tool for developers and researchers alike.
Description
Neurons serve as the fundamental components of a neural network, allowing for connections with other neurons or gate connections that facilitate interaction between them. This interconnectivity paves the way for designing intricate and adaptable architectures. Regardless of the architecture's complexity, trainers can apply any training set to the network, which features built-in tasks for evaluating performance, such as mastering an XOR function, executing a Discrete Sequence Recall challenge, or tackling an Embedded Reber Grammar assessment. Additionally, these networks can be imported and exported in JSON format, transformed into workers or standalone functions, and interlinked with other networks through gate connections. The Architect provides a selection of practical architectures, including multilayer perceptrons, multilayer long short-term memory (LSTM) networks, liquid state machines, and Hopfield networks. Furthermore, networks can undergo optimization, extension, and cloning, and they possess the capability to project connections to other networks or gate connections between two distinct networks. This versatility makes them a valuable tool for various applications in the field of artificial intelligence.
API Access
Has API
API Access
Has API
Integrations
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Integrations
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
SHARK
Founded
2018
Website
image.diku.dk/shark/sphinx_pages/build/html/index.html
Vendor Details
Company Name
Synaptic
Website
caza.la/synaptic/#/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization