Fabric for Deep Learning
Multi framework Deep Learning fabric focussed on deployment, management and usage of Deep Learning stacks, & associated tooling
Pinned Repositories
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/
apis
FfDL API Repository
examples
FfDL Demos Repository
FfDL
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
model-zoo
FfDL Sample Models
pipeline
FfDL Pipeline Repository
scheduler
Repository for FfDL core scheduler
serving
FfDL Model Serving Repository
Fabric for Deep Learning's Repositories
FfDL/FfDL
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
FfDL/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/
FfDL/apis
FfDL API Repository
FfDL/examples
FfDL Demos Repository
FfDL/model-zoo
FfDL Sample Models
FfDL/pipeline
FfDL Pipeline Repository
FfDL/scheduler
Repository for FfDL core scheduler
FfDL/serving
FfDL Model Serving Repository