requirements.txt

# Core Deep Learning
torch>=2.0.0
torchvision>=0.15.0
torchaudio>=2.0.0

# ONNX and Optimization
onnx>=1.14.0
onnxruntime>=1.15.0
onnxruntime-gpu>=1.15.0

# TensorRT (for NVIDIA deployment)
tensorrt>=8.6.0

# Data Processing
numpy>=1.24.0
pandas>=2.0.0
scipy>=1.10.0
scikit-learn>=1.2.0

# Signal Processing
PyWavelets>=1.4.0

# Configuration
pyyaml>=6.0
python-dotenv>=1.0.0
hydra-core>=1.3.0
omegaconf>=2.3.0

# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0
plotly>=5.14.0

# Monitoring and Metrics
prometheus-client>=0.17.0
grafana-api>=1.0.3

# MLOps
mlflow>=2.4.0
wandb>=0.15.0

# API and Serving
fastapi>=0.100.0
uvicorn>=0.22.0
pydantic>=2.0.0

# Testing
pytest>=7.3.0
pytest-cov>=4.1.0

# Logging
loguru>=0.7.0
rich>=13.4.0

# Progress bars
tqdm>=4.65.0

# Type hints
typing-extensions>=4.6.0

# Utilities
click>=8.1.0
python-json-logger>=2.0.0

# Docker SDK (for deployment scripts)
docker>=6.1.0

# Kubernetes client
kubernetes>=26.1.0

# HTTP client
httpx>=0.24.0
requests>=2.31.0

# Data validation
pandera>=0.15.0

# Profiling (optional)
torch-tb-profiler>=0.4.0
memory-profiler>=0.61.0

# Quantization utilities
brevitas>=0.10.0

# Edge deployment
onnx-simplifier>=0.4.0