https://github.com/SCCH-KVS/training-engine
The stand-alone training engine module for the ALOHA.eu project.
https://github.com/SCCH-KVS/training-engine
deep-learning eu-project h2020
Last synced: about 1 year ago
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The stand-alone training engine module for the ALOHA.eu project.
- Host: GitHub
- URL: https://github.com/SCCH-KVS/training-engine
- Owner: SCCH-KVS
- License: apache-2.0
- Created: 2019-02-26T12:54:30.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-10-27T09:33:38.000Z (over 6 years ago)
- Last Synced: 2024-08-04T03:13:04.846Z (almost 2 years ago)
- Topics: deep-learning, eu-project, h2020
- Language: Python
- Homepage:
- Size: 127 KB
- Stars: 15
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.TXT
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README
# 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](data_standardization)
## Architecture deployment
to be added
## Training Configuration
to be added
## Supported Features
- [x] training/inference TensorFlow support
- [x] classification task support
- [x] 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