python-ML-learn/requirements.txt at main · hkevin01/python-ML-learn · GitHub

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# Core Data Science Libraries
numpy>=1.24.0,<2.0.0
pandas>=2.0.0,<3.0.0
scipy>=1.10.0,<2.0.0

# Visualization
matplotlib>=3.7.0,<4.0.0
seaborn>=0.12.0,<1.0.0
plotly>=5.14.0,<6.0.0

# Machine Learning
scikit-learn>=1.3.0,<2.0.0
xgboost>=2.0.0,<3.0.0
lightgbm>=4.0.0,<5.0.0

# Deep Learning - PyTorch
torch>=2.0.0,<3.0.0
torchvision>=0.15.0,<1.0.0
torchaudio>=2.0.0,<3.0.0

# Deep Learning - TensorFlow (Optional)
tensorflow>=2.13.0,<3.0.0

# Natural Language Processing
nltk>=3.8.0,<4.0.0
spacy>=3.6.0,<4.0.0
transformers>=4.30.0,<5.0.0

# Computer Vision
opencv-python>=4.8.0,<5.0.0
Pillow>=10.0.0,<11.0.0

# Jupyter & Notebooks
jupyter>=1.0.0,<2.0.0
jupyterlab>=4.0.0,<5.0.0
ipykernel>=6.25.0,<7.0.0
ipywidgets>=8.1.0,<9.0.0

# Code Quality & Testing
pytest>=7.4.0,<8.0.0
pytest-cov>=4.1.0,<5.0.0
black>=23.7.0,<24.0.0
pylint>=2.17.0,<3.0.0
mypy>=1.5.0,<2.0.0
flake8>=6.1.0,<7.0.0

# Utilities
requests>=2.31.0,<3.0.0
beautifulsoup4>=4.12.0,<5.0.0
tqdm>=4.66.0,<5.0.0
python-dotenv>=1.0.0,<2.0.0

# Model Persistence
joblib>=1.3.0,<2.0.0
dill>=0.3.7,<1.0.0

# Performance Monitoring
psutil>=5.9.0,<6.0.0
memory-profiler>=0.61.0,<1.0.0

# Data Validation
pydantic>=2.0.0,<3.0.0

# Logging & Progress
loguru>=0.7.0,<1.0.0

# Optional: Web App Framework
streamlit>=1.25.0,<2.0.0

# Optional: MLOps
mlflow>=2.5.0,<3.0.0
wandb>=0.15.0,<1.0.0

# Spatial / Geostatistics (Optional)
PyKrige>=1.7.3,<2.0.0
scikit-gstat>=1.0.22,<2.0.0

# Statistical Modeling (Optional)
pygam>=0.9.0,<1.0.0