Fabric for Deep Learning (FfDL)

Fabric for Deep Learning

FfDL

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Multi framework Deep Learning fabric focussed on deployment, management and usage of Deep Learning stacks, & associated tooling

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Fabric for Deep Learning's repositories

FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

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apis

FfDL API Repository

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examples

FfDL Demos Repository

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model-zoo

FfDL Sample Models

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pipeline

FfDL Pipeline Repository

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scheduler

Repository for FfDL core scheduler

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serving

FfDL Model Serving Repository

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