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A Container Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters

DEEP training dashboard

DEEPaaS is a REST API for machine learning models

A Python library to describe abstract workflows for distributed data-intensive applications

A REST API to serve machine learning and deep learning models

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Forked from http://drivendata.github.io/cookiecutter-data-science/

Dockerfiles to build customized versions of TF

Plant images classifier based on Tensorflow/Keras.

Module with a python implementation of posenet using Tensorflow

Dockerfiles for the satellite super-resolution module.

Deep Learning application for seeds identification

Seed image classifier with Tensorflow/Keras.

DEEP as a Service Speech to Text container

Container for plant classification with ResNet50 using DEEP solutions

Phytoplankton classification with Tensorflow/Keras

Deep Learning classification tool for phytoplankton images