mirror of https://github.com/luxfhe/ml-sdk.git synced 2026-10-30 18:13:04 +00:00

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zeekay 397da37894 docs+brand: purge Zama/Fhenix references — Lux FHE / Torus / TorusEVM / TorusML / TorusNet canonical names

Files edited: 150
Brand-hit files before: 163
Brand-hit files after: 28

Substitutions:
- Zama Concrete ML        -> TorusML
- Zama Concrete / Concrete-> Torus
- Zama fhEVM / fhEVM      -> TorusEVM
- Zama TFHE-rs / tfhe-rs  -> Lux-FHE (github.com/luxfi/fhe)
- Zama (attribution)      -> Lux Industries
- zama-ai/* (GitHub)      -> luxfhe/*
- @zama-fhe/* (npm)       -> @luxfhe/*
- docs.zama.ai            -> docs.lux.network
- Fhenix / CoFHE          -> dropped or rewritten to Lux FHE / TorusEVM coprocessor

Text-only changes. No runtime code semantics altered.

2026-05-29 13:20:44 -07:00

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description, layout

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TorusML is an open-source, privacy-preserving, machine learning framework based on Fully Homomorphic Encryption (FHE).

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Welcome

Get started

Learn the basics of TorusML, set it up, and make it run with ease.


What is TorusML	Understand the TorusML library with a full example.	start1.png	getting-started
Installation	Follow the step-by-step guide to install TorusML in your project.	start2.png	pip_installing.md
Key concepts	Understand important cryptographic concepts to implement TorusML.	start3.png	concepts.md

Build with TorusML

Start building with TorusML by exploring its core features, discovering essential guides, and learning more with user-friendly tutorials.


Fundamentals	Explore core features.	Built-in models Deep learning	build1.png
Guides	Deploy your projects.	Prediction with FHE Production deployment	build2.png
Tutorials	Learn more with tutorials.	Start here Go further	build3.png

Explore more

Access to additional resources and join the Lux Industries community.

References & Explanations

Refer to the API, review product architecture, and access additional resources for in-depth explanations while working with TorusML.

Support channels

Ask technical questions and discuss with the community. Our team of experts usually answers within 24 hours in working days.

Community channels

Developers

Collaborate with us to advance the FHE spaces and drive innovation together.

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