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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Neural networks experts looking for a solution to run deep-learning frameworks as a service on Kubernetes

Audience

Developers and professionals interested in a solution to build applications and functional user interfaces

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
Founded: 1911
United States
developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Company Information

Omniscient
omniscientjs.github.io

Alternatives

Alternatives

Categories

Categories

Integrations

Caffe
Kubernetes
PyTorch
React
TensorFlow
Torch

Integrations

Caffe
Kubernetes
PyTorch
React
TensorFlow
Torch
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