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# 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 |