scch-kvs / training-engine

The stand-alone training engine module for the ALOHA.eu project.

ALOHA Training Engine

This is stand-alone Training Engine module ALOHA.eu project. http://aloha-h2020.eu

Setup

Training Engine was developed using Python 3.6, TensorFlow 1.12, PyTorch 1.0 and was tested under Windows 10

pip install -r requirements.txt

Data Standardization

Data standardization description described in data_standardization

Architecture deployment

to be added

Training Configuration

to be added

Supported Features

• training/inference TensorFlow support
• classification task support
• segmentation task support

In development:

• training/inference PyTorch support
• detection task support
• tracking task support
• GAN architecture support
• hyperparameter optimization
• fast/full training mode
• accuracy prediction metric
• transfer leraning support

Acknowledgements

This work was carried out by the European Union`s Horizon H2020 Research and Innovation programme under grant agreement No. 780788