UPI_Fraud_Detection_Using_Machine_Learning/requirements-advanced.txt at master · Skismail57/UPI_Fraud_Detection_Using_Machine_Learning · GitHub

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# Advanced UPI Fraud Detection System - Enhanced Requirements
# Core ML/AI Libraries
fastapi==0.103.1
uvicorn==0.23.2
pydantic==2.3.0
requests==2.31.0
numpy==1.24.3
pandas==2.0.3
scikit-learn==1.3.0
joblib==1.3.2

# Deep Learning & Neural Networks
torch==2.0.1
torchvision==0.15.2
torchaudio==2.0.2
torch-geometric==2.3.1

# Advanced ML Models
xgboost==1.7.6
lightgbm==4.0.0
catboost==1.2.2

# GANs and Synthetic Data
ctgan==0.7.0
sdv==1.2.0

# Graph Neural Networks
dgl==1.1.2
networkx==3.1

# Explainable AI
shap==0.42.1
lime==0.2.0.1
captum==0.6.0

# Computer Vision & Biometrics
opencv-python==4.8.0.76
Pillow==10.0.0
face-recognition==1.3.0

# Audio Processing
librosa==0.10.1
soundfile==0.12.1

# Blockchain & Cryptography
cryptography==41.0.3
hashlib2==1.3.1

# Web Scraping & APIs
beautifulsoup4==4.12.2
feedparser==6.0.10
aiohttp==3.8.5

# Data Visualization
matplotlib==3.7.2
seaborn==0.12.2
plotly==5.15.0

# Database & Storage
redis==4.6.0
psycopg2-binary==2.9.7
sqlalchemy==2.0.19

# Monitoring & Logging
prometheus-client==0.17.1
structlog==23.1.0

# Testing
pytest==7.4.0
pytest-asyncio==0.21.1

# Development Tools
black==23.7.0
flake8==6.0.0
mypy==1.5.1

# Additional Utilities
tqdm==4.65.0
python-dotenv==1.0.0
pydantic-settings==2.0.2