CaffeBAIR
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NUnit.NET Foundation
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Related Products
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About
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.
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About
NUnit is a unit-testing framework for all .Net languages. Initially ported from JUnit, the current production release, version 3, has been completely rewritten with many new features and support for a wide range of .NET platforms. The NUnit Project is a member of the .NET Foundation. The .NET Foundation will provide guidance and support to help ensure the future of the project. The success of NUnit has been made possible through the hard work of our many contributors and team members. The Core Team thanks everyone for the help and contributions that have made NUnit the success that it is. At last count, the various NUnit packages passed 126 million downloads on NuGet.org. We couldn't have done that without the dedication of the many volunteers that donate their time and knowledge to the project. NUnit is Open Source software and NUnit 3 is released under the MIT license.
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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
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Audience
Anyone looking for an open-source deep learning framework with expression, speed and modularity
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Audience
Enterprises, users and developers requiring a unit-testing framework solution to run unit tests
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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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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
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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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBAIR
United States
caffe.berkeleyvision.org
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Company Information.NET Foundation
Founded: 2008
nunit.org
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Alternatives |
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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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Integrations
AWS Elastic Fabric Adapter (EFA)
Amazon Web Services (AWS)
CodeRush
Docker
Fabric for Deep Learning (FfDL)
Jtest
Lambda
Launchable
NCover
NVIDIA DIGITS
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Integrations
AWS Elastic Fabric Adapter (EFA)
Amazon Web Services (AWS)
CodeRush
Docker
Fabric for Deep Learning (FfDL)
Jtest
Lambda
Launchable
NCover
NVIDIA DIGITS
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