air pollution prediction using deep learning methods

I have a given dataset, on which more deep learning methods need to be applied in order to predict the air quality of that area(LSTM and GRU already implemented, so Deep Learning methods other than this like ARIMA, SARIMA,etc). If possible 5,6 models required to be implemented. Also, the models implemented need to be from code available on online sources like github etc, so it will be easy for me to understand and I can refer to those sites if asked to show so. How soon can you get back to me regarding this? Also I have a low budget since I’m a student.

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