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**
```bash
./activate_env.sh
```
**Option 2: Manual activation**
```bash
source venv/bin/activate
```
#### To deactivate:
```bash
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:
```bash
./activate_env.sh
```
2. Start Jupyter Notebook:
```bash
jupyter notebook
```
3. Or start Jupyter Lab:
```bash
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