Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Chainer is a robust, adaptable, and user-friendly framework designed for building neural networks. It facilitates CUDA computation, allowing developers to utilize a GPU with just a few lines of code. Additionally, it effortlessly scales across multiple GPUs. Chainer accommodates a wide array of network architectures, including feed-forward networks, convolutional networks, recurrent networks, and recursive networks, as well as supporting per-batch designs. The framework permits forward computations to incorporate any Python control flow statements without compromising backpropagation capabilities, resulting in more intuitive and easier-to-debug code. It also features ChainerRLA, a library that encompasses several advanced deep reinforcement learning algorithms. Furthermore, with ChainerCVA, users gain access to a suite of tools specifically tailored for training and executing neural networks in computer vision applications. The ease of use and flexibility of Chainer makes it a valuable asset for both researchers and practitioners in the field. Additionally, its support for various devices enhances its versatility in handling complex computational tasks.
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.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Elastic Fabric Adapter (EFA)
Yes
Amazon Web Services (AWS)
Yes
Google Cloud Deep Learning VM Image
Yes
IBM Cloud
Yes
Microsoft 365
Yes
NVIDIA DRIVE
Yes
Integrations
AWS Elastic Fabric Adapter (EFA)
No
Amazon Web Services (AWS)
No
Google Cloud Deep Learning VM Image
No
IBM Cloud
No
Microsoft 365
No
NVIDIA DRIVE
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Chainer
Country
Japan
Website
chainer.org
Vendor Details
Company Name
SHARK
Founded
2018
Website
image.diku.dk/shark/sphinx_pages/build/html/index.html
Product Features
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No