Richard's repositories
berlin_land_use_dataset
Land Use Dataset for NO2 pollution in Berlin (2023) – hourly pollution for 16 stations (2023) + hourly meteorological data (n= 6) + point-of-interest features for measuring sites (inc. traffic, greenery, street canyon, population)
A-FS_Emerg_PickUp_Notifier
Submission of food left over coordination is left online (streamlit) and forwarded to Telegram.
Language:Python000
inference-latency-whisper
Computational comparison of GPU Inference Latency for Automatic Speech Recognition (ASR) model: Whisper large-v3 before and after fine-tuning on German corpus.
MLbased_meteorological_data_imputation
Missing data Imputation with LSTM-based Architecture: sequential meteorological data
MLbased_spatial_pollution_prediction
NO2 Prediction: Performance and Robustness Comparison between Random Forest and Graph Neural Network