CaffeBAIR
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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
sipXcom was established in January of 2015 from a fork in the sipXecs project by the development team at eZuce, Inc. sipXecs and SIPfoundry in particular had become a user community and was not seeing any growth in the developer community. Due to a restrictive contributor agreement, sipXcom is without any restrictive contribution rights. sipXcom source code licensing is based on the copyleft-friendly AGLP v3 (Affero General Public License). SWARM is the code name for the next generation of sipXcom/sipXecs projects. Under development with anticipated production readiness scheduled for early 2017, SWARM will be a microservices-based architecture that will improve upon sipX scalability, reliability and configurability. The software is designed to support any compute platform whether you want to use dedicated, virtual, or cloud-based servers. You can also create hybrid implementations with a combination of premise-based and data center or cloud instances.
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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 in need of a communications solution providing a highly available SIP routing core
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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 InformationsipXcom
Founded: 2015
United States
sipxcom.org
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Alternatives |
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
Amazon Web Services (AWS)
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Docker
Fabric for Deep Learning (FfDL)
IBM Cloud
Lambda
NVIDIA DIGITS
OpenVINO
Polyaxon
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Integrations
Amazon Web Services (AWS)
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Docker
Fabric for Deep Learning (FfDL)
IBM Cloud
Lambda
NVIDIA DIGITS
OpenVINO
Polyaxon
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