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56 lines (49 loc) · 1.68 KB
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# ---------------------------------------------------------------
# Core scientific stack
# ---------------------------------------------------------------
numpy>=1.26,<2.1
pandas>=2.1,<2.3
scipy>=1.11
scikit-learn>=1.4,<1.6
joblib>=1.3
# ---------------------------------------------------------------
# Geospatial & remote sensing
# ---------------------------------------------------------------
earthengine-api>=0.1.400
geemap>=0.32
folium>=0.16
shapely>=2.0
pyproj>=3.6
# ---------------------------------------------------------------
# Machine learning models
# ---------------------------------------------------------------
xgboost>=2.0
# TensorFlow is optional and only needed for the LSTM benchmark
# in notebooks/03_model_building.ipynb. Comment out if unused.
tensorflow>=2.15,<2.17
# ---------------------------------------------------------------
# Interpretability
# ---------------------------------------------------------------
shap>=0.45
# ---------------------------------------------------------------
# Visualisation
# ---------------------------------------------------------------
matplotlib>=3.8
seaborn>=0.13
plotly>=5.20
# ---------------------------------------------------------------
# Streamlit deployment
# ---------------------------------------------------------------
streamlit>=1.32
streamlit-folium>=0.20
# ---------------------------------------------------------------
# Notebook tooling
# ---------------------------------------------------------------
jupyterlab>=4.0
ipykernel>=6.29
# ---------------------------------------------------------------
# Utilities
# ---------------------------------------------------------------
tqdm>=4.66
python-dotenv>=1.0
requests>=2.31