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Symmetry Structured Convolutional Neural Networks

The code is tested on a V100 GPU with Tensorflow 2.0.0 and Python 3.7.6.

Requirements

pip install -r requirements.txt

Implementation

RNA experiments on sCNN kernels use the half Normal Glorot initialization.

Training sCNN models from scratch

To train sCNN model with hyperparameter match version on RNA problem with strand16 dataset

python3 machine_HM.py --dataset strand16s --weight 5 --lr 0.002 

Acknowledgments

This project is built on top of CNN for RNA problem.

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Code for the RNA secondary structure inference problem in the Symmetry Structured Convolutional NeuralNetworks

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