# Core dependencies
torch>=2.0.0
transformers>=4.30.0
scikit-learn>=1.3.0
pandas>=1.5.0
numpy>=1.24.0
scipy>=1.10.0

# Data processing and NLP
datasets>=2.12.0
tokenizers>=0.13.0
spacy>=3.6.0
nltk>=3.8.0
gensim>=4.3.0  # For Doc2Vec (Risk-o-meter framework)

# Training and acceleration
accelerate>=0.20.0
tqdm>=4.64.0

# Visualization
matplotlib>=3.6.0
seaborn>=0.12.0
plotly>=5.15.0
wordcloud>=1.9.0

# Calibration and uncertainty
netcal>=1.3.0

# Development and deployment
jupyter>=1.0.0
ipywidgets>=7.7.0
flask>=2.3.0
requests>=2.31.0

# Optional: Experiment tracking
wandb>=0.15.0