Nainikas/Traffic-Aware-ETA-Prediction-Using-Temporal-Deep-Learning

1# Python bytecode2__pycache__/3*.py[cod]4*.pyo5*.pyd6*.pkl7*.npy8*.npz9 10# Jupyter/IPython11*.ipynb_checkpoints/12 13# Virtual environment14venv/15.venv/16 17# Logs and reports18*.log19*.out20*.err21 22# Environment variables23.env24*.env25 26# Datasets and generated files27# Ignore data/ except PEMS-BAY28data/*29!data/pems-bay.h530 31# Ignore models/ except trained model32models/*33!models/lstm_eta_model.pth34# Ignore outputs/ except plots35outputs/36 37# IDE/editor folders38.vscode/39.idea/40.DS_Store41 42# OS-specific43Thumbs.db44ehthumbs.db45