Develops sequence to sequence control oriented neural networks in a highly modular way.
Project description
pymodconn
pymodconn = A Python library for developing modular sequence to sequence control oriented neural networks
Instructions
- Install:
pip install pymodconn
- Usage: Download congifuration file from tests_usage\ in the github repository https://github.com/gaurav306/pymodconn
from pymodconn.configs_init import get_configs
from pymodconn.model_gen import ModelClass
configs = get_configs('config_model.yaml')
model_class = ModelClass(configs_data, time_dt)
model_class.build_model()
print('model_class.model.inputs: ',model_class.model.inputs)
print('model_class.model.outputs: ',model_class.model.outputs)
Credits
packaging instructions from https://towardsdatascience.com/how-to-package-your-python-code-df5a7739ab2e
Project details
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