requirements.txt

# Core ML/AI Libraries
numpy>=1.21.0
pandas>=1.3.0
scikit-learn>=1.0.0
scipy>=1.7.0

# Deep Learning
torch>=2.0.0
torchvision>=0.15.0
tensorflow>=2.12.0
keras>=2.12.0

# Audio Processing
librosa>=0.10.0
soundfile>=0.12.0
audioread>=3.0.0
pydub>=0.25.0

# NLP
nltk>=3.8.0
spacy>=3.5.0
transformers>=4.30.0
sentence-transformers>=2.2.0
gensim>=4.3.0

# Neuroimaging (Optional - for fMRI/EEG)
nilearn>=0.10.0
nibabel>=5.0.0
mne>=1.4.0

# Visualization
matplotlib>=3.5.0
seaborn>=0.12.0
plotly>=5.14.0
yellowbrick>=1.5.0
umap-learn>=0.5.3

# Dimensionality Reduction
scikit-learn>=1.0.0
umap-learn>=0.5.3
hdbscan>=0.8.29

# Clustering & Metrics
scikit-learn>=1.0.0
scipy>=1.7.0

# Explainable AI
shap>=0.42.0
lime>=0.2.0

# Data Processing
tqdm>=4.65.0
joblib>=1.2.0
h5py>=3.8.0

# Configuration
pyyaml>=6.0
python-dotenv>=1.0.0

# Jupyter & Notebooks
jupyter>=1.0.0
notebook>=6.5.0
ipywidgets>=8.0.0
jupyterlab>=3.6.0

# Web Dashboard (Optional)
streamlit>=1.24.0
dash>=2.11.0
flask>=2.3.0

# Utilities
opencv-python>=4.7.0
pillow>=9.5.0
requests>=2.31.0

# Statistical Analysis
statsmodels>=0.14.0
pingouin>=0.5.3

# Model Persistence
pickle5>=0.0.12
dill>=0.3.6

# Development Tools
pytest>=7.3.0
black>=23.3.0
flake8>=6.0.0
mypy>=1.3.0

# Documentation
sphinx>=6.2.0
sphinx-rtd-theme>=1.2.0