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1. traffic_prediction traffic_prediction Public

   Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

   TeX 280 46

2. G-SWaN G-SWaN Public

   G-SWaN: G-SWaN: Graph Self-attention WaveNet for Traffic Forecasting. This is the official repo for the following paper: Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Tra…

   Python 7

3. OoD_Electricity_Forecasting_during_COVID-19 OoD_Electricity_Forecasting_during_COVID-19 Public

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4. cruiseresearchgroup/forecasting-on-new-roads cruiseresearchgroup/forecasting-on-new-roads Public

   Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)

   Python 6 3

5. ArianDLPrimer ArianDLPrimer Public

   My personal list of what are the things to learn in deep learning.

   2 1

6. cruiseresearchgroup/DIEF_BTS cruiseresearchgroup/DIEF_BTS Public

   The Building TimeSeries (BTS) dataset covers three buildings over a three-year period, comprising more than ten thousand timeseries data points with hundreds of unique ontologies. Moreover, the me…

   Jupyter Notebook 21 1