MLM-101/requirements.txt at main · flowdiary/MLM-101 · GitHub

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# Root requirements file for Machine Learning Mastery (MLM-101)
# Compatible with Python 3.8+

# Core Data Science Libraries
numpy>=1.21.0,<2.0.0
pandas>=2.0.0,<3.0.0
matplotlib>=3.5.0,<4.0.0
seaborn>=0.12.0,<1.0.0

# Machine Learning
scikit-learn>=1.2.0,<2.0.0
joblib>=1.2.0,<2.0.0

# Deep Learning
tensorflow>=2.10.0,<3.0.0; platform_machine != 'arm64'
tensorflow-macos>=2.10.0,<3.0.0; platform_machine == 'arm64' and sys_platform == 'darwin'
tensorflow-metal>=0.6.0; platform_machine == 'arm64' and sys_platform == 'darwin'
keras>=2.10.0,<3.0.0

# NLP Libraries
nltk>=3.8.0,<4.0.0
spacy>=3.5.0,<4.0.0
transformers>=4.25.0,<5.0.0
sentencepiece>=0.1.99

# RAG and LLM
langchain>=0.1.0,<1.0.0
langchain-community>=0.0.10,<1.0.0
chromadb>=0.4.0,<1.0.0
faiss-cpu>=1.7.4; platform_machine != 'x86_64'
faiss-gpu>=1.7.4; platform_machine == 'x86_64'
pypdf>=3.17.0,<4.0.0
openai>=1.0.0,<2.0.0

# Web Frameworks & Deployment
streamlit>=1.28.0,<2.0.0
fastapi>=0.104.0,<1.0.0
uvicorn[standard]>=0.24.0,<1.0.0
gradio>=4.0.0,<5.0.0
pydantic>=2.0.0,<3.0.0

# Jupyter & Notebooks
jupyter>=1.0.0,<2.0.0
jupyterlab>=4.0.0,<5.0.0
ipykernel>=6.25.0,<7.0.0
notebook>=7.0.0,<8.0.0
ipywidgets>=8.0.0,<9.0.0

# Visualization
plotly>=5.17.0,<6.0.0
pillow>=10.0.0,<11.0.0

# Utilities
python-dotenv>=1.0.0,<2.0.0
tqdm>=4.66.0,<5.0.0
requests>=2.31.0,<3.0.0
python-multipart>=0.0.6,<1.0.0

# Data Validation
pydantic>=2.0.0,<3.0.0

# Testing (optional, for contributors)
pytest>=7.4.0,<8.0.0
pytest-cov>=4.1.0,<5.0.0

# Code Quality (optional, for contributors)
black>=23.7.0,<24.0.0
flake8>=6.1.0,<7.0.0
isort>=5.12.0,<6.0.0

# Development Tools (optional)
nbconvert>=7.8.0,<8.0.0
nbformat>=5.9.0,<6.0.0