arnor-sigurdsson/EIR
A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
This toolkit helps data scientists and researchers quickly train and evaluate various deep learning models for tasks like classification, regression, and content generation. You input diverse data types such as genetic information, tables, text, or images, and it outputs predictions, generated sequences, or new images. It is designed for those who need to rapidly prototype and establish baselines on new and complex datasets, especially in fields like genomics where deep learning tools might be less common.
Use this if you need to quickly prototype and iterate on deep learning models across various data types or establish performance baselines for your datasets without extensive custom coding.
Not ideal if you are an ML/DL researcher focused on developing new model architectures or require highly customized model components beyond what's configurable.
Stars
42
Forks
8
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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