EIR
EIR
is a framework
for supervised training
of deep learning models
on genotype, tabular, sequence, image and binary data.
It is designed to provide
a high-level, yet modular API
that reduces the amount of boilerplate code
and pre-processing required to train a model.
Installation
$ pip install eir-dl
Documentation
To get started, please read 01 – Genotype Tutorial: Ancestry Prediction.
- Using EIR
- 01 – Genotype Tutorial: Ancestry Prediction
- 02 – Tabular Tutorial: Nonlinear Poker Hands
- 03 – Sequence Tutorial: Movie Reviews and Peptides
- 04 – Established Architectures and Pretrained Models
- 05 – Image Tutorial: Hot Dog or Not?
- 06 – Training on binary data
- 07 – Multimodal Training: Combining Tabular, Text, and Image
- Customizing EIR
- API
- License
- Acknowledgements