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GitHub / mzgubic / FairML
Fairness in ML using adversarial training.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mzgubic%2FFairML
Stars: 4
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 13.1 MB
Dependencies:
58
Created: over 5 years ago
Updated: about 3 years ago
Last pushed: about 5 years ago
Last synced: about 1 year ago
Topics: adversarial-networks, fairness, mutual-information, pivoting
Files
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Readme
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Dependencies
environment.yml
conda
- matplotlib
- numpy
- pandas
- python 3.6.*
- scikit-learn
- tensorflow 1.10.*
requirements.txt
pypi
- Jinja2 ==2.9.6
- MarkupSafe ==1.0
- Pygments ==2.2.0
- appnope ==0.1.0
- backports-abc ==0.5
- backports.shutil-get-terminal-size ==1.0.0
- bleach ==2.1.1
- certifi ==2017.7.27.1
- cffi ==1.12.0
- configparser ==3.5.0
- decorator ==4.1.2
- entrypoints ==0.2.3
- enum34 ==1.1.6
- functools32 ==3.2.3.post2
- html5lib ==1.0b10
- ipykernel ==4.6.1
- ipython ==5.5.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.0.1
- jsonschema ==2.6.0
- jupyter ==1.0.0
- jupyter-client ==5.1.0
- jupyter-console ==5.2.0
- jupyter-core ==4.3.0
- mistune ==0.7.4
- nbconvert ==5.3.1
- nbformat ==4.4.0
- notebook ==5.1.0
- numpy ==1.16.1
- pandocfilters ==1.4.2
- pathlib2 ==2.3.0
- pexpect ==4.2.1
- pickleshare ==0.7.4
- prompt-toolkit ==1.0.15
- ptyprocess ==0.5.2
- pycparser ==2.19
- python-dateutil ==2.6.1
- pyxrootd ==4.7.0
- pyzmq ==16.0.2
- qtconsole ==4.3.1
- scandir ==1.6
- simplegeneric ==0.8.1
- singledispatch ==3.4.0.3
- six ==1.11.0
- sounddevice ==0.3.12
- terminado ==0.6
- testpath ==0.3.1
- tornado ==4.5.2
- traitlets ==4.3.2
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.0.3