There are 1 repository under deep-hybrid-datacloud topic.
The INDIGO PaaS Orchestrator
Repository to perform image classification using tensorflow/keras.
YAML description of new types added to extend TOSCA Simple Profile in YAML Version 1.0
Jenkins pipeline library with common functionalities for CI/CD environments, mainly targeted for the implementation of the SQA baseline requirements from https://indigo-dc.github.io/sqa-baseline/
A set of Common Software Quality Assurance Baseline Criteria for Research Projects
TOSCA Templates Supporting the Use Cases for INDIGO-DataCloud
Repository containing the Monitoring component for the Indigo DataCloud Platform. It includes a few scripts for supporting Zabbix server management, the wrapper for the Zabbix API and several probes implemented for Zabbix, in order to collect metrics from several sources.
Ansible role to install the INDIGO Virtual Router
INDIGO PaaS Orchestrator - Simple Graphical UI
Ansible role to install a JupyterHub server
Ansible roles for installing Data Analytic Stack (DAS) in OS container
Generic container for image classification using tensorflow
Phytoplankton classification with Tensorflow/Keras
Container for plant classification with ResNet50 using DEEP solutions
Seed image classifier with Tensorflow/Keras.
Code for plant classification with ResNet50.
Conus classification with Tensorflow/Keras.
Invasive species images classifier based on Tensorflow/Keras.
Plant images classifier based on Tensorflow/Keras.