torch>=1.10.0
pandas>=1.3.0
numpy>=1.21.0
scikit-learn>=1.0.0
scipy>=1.7.0
matplotlib>=3.5.0
seaborn>=0.11.0
plotly>=5.0.0
pyreadr>=0.4.0
lifelines>=0.27.0
statsmodels>=0.13.0
mlflow>=1.20.0
wandb>=0.12.0
xgboost>=1.5.0
lightgbm>=3.3.0
tqdm>=4.62.0
pyyaml>=6.0
jupyter>=1.0.0
ipywidgets>=7.6.0
captum>=0.5.0  # For interpretability analysis
higher>=0.2.1  # For meta-learning optimization