Massive Online Data Streams analysis.
Know more »»Welcome to the DEEP Open Catalog!
DEEP-Hybrid-DataCloud is a project that aims to deliver a framework to easily develop Machine Learning and Deep Learning models on top of e-Infrastructures. In the DEEP Open Catalog you can find ready to use models in a variety of domains. These models can be executed on your local laptop, on a production server or on top of e-Infrastrucutres supporting the DEEP-Hybrid-DataCloud stack.
Browse the list of available models and pick the one of your choice.
The DEEP Generic Container is a good starting point to see how the API looks like (but it does not provide any functionality at all).
$ docker search deephdc
$ docker run -ti -p 5000:5000 deephdc/deep-oc-generic-container$ udocker search deephdc
$ udocker run -p 5000:5000 deephdc/deep-oc-generic-containerNeed GPU access?
Use nvidia-docker together with Docker:$ nvidia-docker run -ti -p 5000:5000 deephdc/deep-oc-generic-container$ udocker pull deephdc/deep-oc-generic-container
$ udocker create --name=deep-oc-generic-container deephdc/deep-oc-generic-container
$ udocker setup --nvidia deep-oc-generic-container
$ udocker run -p 5000:5000 deep-oc-generic-containerhttp://127.0.0.1:5000/.
Massive Online Data Streams analysis.
Know more »»A tool to train an image classifier on your data
Know more »»A trained ResNet50 on Theano to seeds.
Know more »»A trained ResNet50 on Theano to classify phytoplankton species.
Know more »»A generic container that can serve as an example project, without real functionality
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