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About
Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. The FfDL platform uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently. Leveraging the power of Kubernetes, FfDL provides a scalable, resilient, and fault-tolerant deep-learning framework. The platform uses a distribution and orchestration layer that facilitates learning from a large amount of data in a reasonable amount of time across compute nodes.
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About
Do fast top-down rendering of views while thinking functional programming. Allow your views to be predictable, naturally separated, and composable, but still performant. Omniscient is to React as memoize is to the Fibonacci function. Functional programming for UIs. Memoization for stateless React components. Top-down rendering of components (unidirectional data flow). Favors immutable data (with Immutable.js). Encourages small, composable components, and shared functionality through mixins. Natural separation of concern. Components only deal with their own piece of data. Efficient and centrally defined. In its simplest form, an Omniscient component is a Stateless React Component, but more optimized. Omniscient is just as much a way to think when you are building applications as a library itself. As Omniscient is wrapped in a UMD you can use it many different ways, through CommonJS, AMD, or just through the window object.
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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
Neural networks experts looking for a solution to run deep-learning frameworks as a service on Kubernetes
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Audience
Developers and professionals interested in a solution to build applications and functional user interfaces
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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
Free
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 InformationIBM
Founded: 1911
United States
developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/
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Company InformationOmniscient
omniscientjs.github.io
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