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Generate Synthetic Data and Mitigate Bias
- Python 85.3%
- HTML 14.7%
| .streamlit | ||
| __pycache__ | ||
| 1.png | ||
| 2.png | ||
| app.py | ||
| functions.py | ||
| generateddata.csv | ||
| german.csv | ||
| gretal.py | ||
| img.png | ||
| input.yaml | ||
| pyexpr.py | ||
| README.md | ||
| requirements.txt | ||
| synthetic_data.csv | ||
| test.html | ||
| TGAN_credit_risk.csv | ||
| tink2.py | ||
| tink3.py | ||
| tinker.py | ||
| todo | ||
| tools_point_draw.html | ||
| training_data.csv | ||
| zraining_data.csv | ||
GenEthos
Synthetic Data generation and Bias Detection/Mitigation tools for Fair and Ethical data
Streamlit Live App: https://share.streamlit.io/dewenhona/sdgnweb/app.py
Prototype/Mockup: https://framer.com/share/SDN--p3lrp947qJ0YVqD7z9YF/YCDqQJRgE#YCDqQJRgE
Built with: Streamlit
Steps to run:
1) clone repo
2) pip install requirements.txt
3) streamlit run app.py
Showcase:
