Files
zeekay 7bc2d7a588 docs+brand: continue Zama/Fhenix purge — luxfhe-ai artefacts, URLs, HF demos
Continuation pass:
- luxfhe-ai/* -> luxfhe/* (prior partial rebrand artefact)
- docs.luxfhe.ai -> docs.lux.network
- huggingface.co/spaces/zama-fhe -> luxfhe (demos we don't host -> drop link)
- More compound substitutions caught by expanded grep

Files edited: 7
2026-05-29 13:30:14 -07:00

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Healthcare diagnosis

Give a diagnosis using FHE to preserve the privacy of the patient. We show how to train several models using TorusML and choose the one that provides the best accuracy with the lowest inference time. Finally, we export the model in order to use it in the Hugging Face space which provides a live interactive demo this model in use.

Installation

  • First, create a virtual env and activate it:
python3.8 -m venv .venv
source .venv/bin/activate
  • Then, install required packages:
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed