SHARK
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SHARK
By SHARK
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3.8 out of 5 stars
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SHARK Reviews & Product Details

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Yash P.
YP
CEO of Linksys at LinkSys Compsnies
Information Technology and Services
Small-Business(50 or fewer emp.)
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What do you like best about SHARK?

I like it's kernel-based learning algorithms and neural networks libraries .As I am working in ML and it has a helpful libraries available. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

There are a lot bugs to be improved but customer support is good . Review collected by and hosted on G2.com.

Recommendations to others considering SHARK:

If you are using C++ machine learning libraries then SHARK is useful for you . Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

I was using this while developing my project in machine learning . Review collected by and hosted on G2.com.

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SHARK Overview

Editedit
What is SHARK?

SHARK is a fast, modular, feature-rich open-source C++ machine learning library that provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques and is compatible with Windows, Solaris, MacOS X, and Linux.

SHARK Details
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SHARK Community
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Product Description

SHARK is a fast, modular, feature-rich open-source C++ machine learning library that provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques and is compatible with Windows, Solaris, MacOS X, and Linux.

Seller Details
Seller
SHARK
HQ Location
Kharkiv
LinkedIn® Page
www.linkedin.com
12,786 employees on LinkedIn®

Recent SHARK Reviews

Bashar H.
BH
Bashar H.Small-Business (50 or fewer emp.)
3.0 out of 5
"Best ML capabilities available for everyone"
I evaluated Shark with the ML team and it was perfect for addressing optimization problems and for neural network training and development. It's e...
Read more
Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
4.0 out of 5
"One of the best software for ML"
This is helpful as for an ML engineer this gives a lot of edges to get the ML libraries there. So it becomes a one stop solution for ML engineer g...
Read more
IN
Ignacio N.Small-Business (50 or fewer emp.)
4.5 out of 5
"Software betting program for"
And there are some beneficial libraries to have. Thus, it is a useful library to have. As I am running in ML and there are useful libraries to have...
Read more
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5 out of 6 Total Reviews for SHARK

3.8 out of 5
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5 out of 6 Total Reviews for SHARK
3.8 out of 5
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5 out of 6 Total Reviews for SHARK
3.8 out of 5
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SHARK Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
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Bashar H.
BH
Owner
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about SHARK?

I evaluated Shark with the ML team and it was perfect for addressing optimization problems and for neural network training and development.

It's easily available for everyone, easy to implement, convenient and helpful solution.

I like that its versatility and I love that it's compatible with Linux. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

Poor website and customer service. The linrary should urgently be updated, I think 2018 was the last update! Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

It mainly aims to provide versatile and efficient set of tools for machine learning engineers ranging from optimisation tasks to coplex pattern recognition methods. Review collected by and hosted on G2.com.

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Verified User in Financial Services
UF
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about SHARK?

This is helpful as for an ML engineer this gives a lot of edges to get the ML libraries there. So it becomes a one stop solution for ML engineer going forward. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

Customer care should be strong which will give the best overhead in case of any issue found and need assistance. Added to the UX problems can be solved to quite an extent. Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

If you are the one who uses ML models a lot this is the place to go. This gets a lot better when more people contribute in. This is kind of ammunition for an ML engineer. Review collected by and hosted on G2.com.

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IN
Software Engineer
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI
What do you like best about SHARK?

And there are some beneficial libraries to have. Thus, it is a useful library to have. As I am running in ML and there are useful libraries to have. And there are some beneficial libraries available. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

There are many progressive bugs, but customer service is correct. There are many progressive bugs, but customer support is correct. Many bugs are progressing, however, customer support is correct. There are many progressive bugs, however, customer support is correct. Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

I became or use of it, even growing my device in the way of satisfying I started using it while growing my business company within a look at gadgets I was using it while developing my task in device mastering. I started using it while growing my agency in taking a look at devices. Review collected by and hosted on G2.com.

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AG
Software Engineer
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI
What do you like best about SHARK?

As I am working on ML and there is a useful library available. I like its kernel-based learning algorithms and neural network libraries. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

There are a variety of errors to be addressed, but customer support is good. There are many bugs that progress, however, customer support is ideal. There are many bugs that progress, but customer service is correct. Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

I was the use of this, even growing my employer in the machine to comply. I started using this while growing my company in the examination of devices. I became using this while increasing my challenge in the study of machines. Review collected by and hosted on G2.com.

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MV
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI
What do you like best about SHARK?

I like that it is based on the kernel fully understanding algorithms and neural network libraries. I like that it is based on the kernel acquiring knowledge of algorithms and neural network libraries. I like that it is the mastering algorithm mainly based on the kernel and neural network libraries. and it has some useful libraries to be considered. As I am working in ML and it has a useful library to have. Review collected by and hosted on G2.com.

What do you dislike about SHARK?

There are many bugs to improve, however, the customer service is good. There are many bugs to improve, however, the customer service is good. There are many bugs to take a step forward, however, the customer service is correct. There are many bugs to advance, but the customer service is good. There are many bugs to progress, but the customer service is good. Review collected by and hosted on G2.com.

What problems is SHARK solving and how is that benefiting you?

I become in the use of this while I develop my task in machine learning. I was using this while my task grew in devices that acquired knowledge of. I became to use this at the same time as I increased my assignment in the study of machines. I started using this while I developed my company in the study of gadgets. I was using this while my company grew in the machine to know. Review collected by and hosted on G2.com.

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SHARK