ai_ecosystem / README.md
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AI Ecosystem Project

This project contains datasets and analysis tools for exploring the AI ecosystem, particularly focusing on models available on HuggingFace.

Setup

Virtual Environment

A Python virtual environment has been created with all necessary dependencies installed.

To activate the virtual environment:

Option 1: Use the activation script

./activate_env.sh

Option 2: Manual activation

source venv/bin/activate

To deactivate:

deactivate

Dependencies

The following packages are installed in the virtual environment:

Core Data Science

  • numpy>=1.24.0 - Numerical computing
  • pandas>=2.0.0 - Data manipulation and analysis
  • seaborn>=0.12.0 - Statistical data visualization
  • matplotlib>=3.7.0 - Plotting library

Jupyter and Development

  • jupyter>=1.0.0 - Jupyter notebook environment
  • ipykernel>=6.0.0 - Python kernel for Jupyter
  • notebook>=6.5.0 - Classic Jupyter notebook

Data Processing and Analysis

  • scikit-learn>=1.3.0 - Machine learning library
  • scipy>=1.10.0 - Scientific computing

Visualization

  • plotly>=5.15.0 - Interactive plotting
  • bokeh>=3.0.0 - Interactive visualization

AI/ML Specific

  • torch>=2.0.0 - PyTorch deep learning framework
  • transformers>=4.30.0 - HuggingFace transformers library
  • datasets>=2.12.0 - HuggingFace datasets library

Utilities

  • json5>=0.9.0 - JSON handling
  • tqdm>=4.65.0 - Progress bars
  • requests>=2.31.0 - HTTP library
  • python-dotenv>=1.0.0 - Environment variable management

Usage

Running Jupyter Notebooks

  1. Activate the virtual environment:

    ./activate_env.sh
    
  2. Start Jupyter Notebook:

    jupyter notebook
    
  3. Or start Jupyter Lab:

    jupyter lab
    

Project Files

  • get_expanded_dataset.ipynb - Notebook for expanding JSON datasets into tabular format
  • ai_ecosystem_jsons.csv - Original JSON dataset
  • ai_ecosystem_dataset copy.csv - Expanded dataset copy
  • ai_ecosystem_withmodelcards copy.csv - Dataset with model cards

Notes

  • The virtual environment is located in the venv/ directory
  • All dependencies are specified in requirements.txt
  • Use the activation script for convenience when starting work on this project