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AI4VN2022 - Air Quality Forecasting: Team LQDBD

Our approach

Presentation: Slide

Pipeline

Reproduce our results

Install required packages

pip install -r requirements.txt
python -m pip install -e .

Data

We have put all contest data in this repo, you can move to data/ folder to see its structure and create a custom dataset if you want.

Running

We have provided all essential scripts scripts/ that you could run to reproduce our results. You can look at these scripts to see the required params (if you want to tinker it).

Contact

If you have any issue while running, raise an issue or privately mail nqbinhcs, hungnt14.

About

Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge

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