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Author:
HarrisonWilde
License:
MIT
Summary:
Synthetic data generation pipeline leveraging a Differentially Private Variational Auto Encoder assessed using a variety of metrics
Latest version:
0.11.0
Required dependencies:
gower
|
llvmlite
|
matplotlib
|
networkx
|
numpy
|
opacus
|
pandas
|
plotly
|
pyvis
|
pyyaml
|
scikit-learn
|
scipy
|
sdmetrics
|
streamlit
|
torch
|
tqdm
|
umap-learn
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