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Randomized Temporal RNN architecture, designed to provide one-step ahead forecasts on multivariate time-series datasets

AGPL-3.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
datasets		datasets
LICENSE		LICENSE
README.md		README.md
main.py		main.py
model.py		model.py
preprocessor.py		preprocessor.py
requirements.txt		requirements.txt
train.py		train.py
utils.py		utils.py

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RTRNN

Randomized Temporal RNN architecture, designed to provide one-step ahead forecasts on multivariate time-series datasets

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Randomized Temporal RNN architecture, designed to provide one-step ahead forecasts on multivariate time-series datasets

machine-learning recurrent-neural-networks time-series-forecasting day-ahead-market

AGPL-3.0 license

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