PyPI page
Author:
Stephen Meisenbacher
License:
MIT License
Copyright (c) 2025-2026 Stephen Meisenbacher
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and ass...
Summary:
Differentially private document generation leveraging semantic triples.
Latest version:
0.3.9
Required dependencies:
datasketch
|
einops
|
flash-attn
|
nltk
|
numpy
|
peft
|
sentence-transformers
|
stanford-openie
|
stanfordnlp
|
torch
|
tqdm
|
transformers
|
vllm
|
weaviate-client
|
xformers
Optional dependencies:
datasets
|
scikit-learn
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