AutoDA is a Python framework for automated real-time data augmentation for Deep Learning.
- Data augmentation pipeline, applying an augmentation pipeline with optimized parameters can be done simply by:
- Based on keras that:
- Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- Runs seamlessly on CPU and GPU.
The quick way:
pip3 install git+https://github.com/NMisgana/AutoDA
Documentation is available at http://autoda.readthedocs.io/en/latest/.