Pinned Repositories
aprbw.github.io
ArianDLPrimer
My personal list of what are the things to learn in deep learning.
EpochAndBatches
Simple deep learning experiment tracker.
flight_delay_01
Predicting Flight Delay With Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
forecasting-on-new-roads
G-SWaN
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 Traffic Forecasting (IoTDI '23)
OoD_Electricity_Forecasting_during_COVID-19
traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
DIEF_BTS
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 metadata is standardized using the Brick schema.
forecasting-on-new-roads
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)
aprbw's Repositories
aprbw/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
aprbw/G-SWaN
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 Traffic Forecasting (IoTDI '23)
aprbw/ArianDLPrimer
My personal list of what are the things to learn in deep learning.
aprbw/flight_delay_01
Predicting Flight Delay With Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
aprbw/OoD_Electricity_Forecasting_during_COVID-19
aprbw/aprbw.github.io
aprbw/EpochAndBatches
Simple deep learning experiment tracker.
aprbw/forecasting-on-new-roads
aprbw/git_training_01
aprbw/graph_partition_based_DCRNN
aprbw/pygcn
Graph Convolutional Networks in PyTorch
aprbw/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!