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zeekay
b057b28176
After merging chore/purge-zama-brand and chore/purge-zama-brand-v2,
applied the v2 commit's substitution map to the ~18 files those
branches missed:
notebooks (docs/advanced_examples/*.ipynb, cifar_brevitas_finetuning/*.ipynb)
pyproject.toml, poetry.lock
.gitleaksignore, .github/workflows/publish_aws_ami.yaml
.github/ISSUE_TEMPLATE/release.md, private_dictionary.txt
Substitutions (consistent with v2 commit's mapping):
zama-ai/concrete-ml → luxfhe/ml-sdk
zama-ai/concrete → luxfhe/torus
zama-ai/tfhe-rs → luxfhe/tfhe
zama-ai → luxfhe
github.com/zama-ai → github.com/luxfhe
docs.zama.ai → docs.luxfhe.com
zama-pypi-cpu → luxfhe-pypi-cpu
Concrete ML → TorusML
concrete-ml → torus-ml
concrete_ml → torus_ml
Concrete framework → Torus framework
Concrete compiler → Torus compiler
Concrete by Zama → Torus by Lux Industries
tfhe-rs / TFHE-rs → Lux-FHE
fhEVM → TorusEVM
Zama → Lux Industries
Fhenix → (removed)
After this commit, the only "zama" string matches remaining in the
working tree (per grep -ril) are inside base64-encoded PNG image
data in notebooks — coincidental substring matches, NOT real
references. Verified 10 files × 1-2 matches each, all 0 outside b64.
Residual real work for phase 2 (NOT in this commit):
- 89 Python files contain `from concrete.fhe import …` etc.
These require luxfhe/torus to be a publishable Python module
before the import statements can be safely renamed. Tracked
in the v2 commit's roadmap.
- deps_licenses/*.txt retain Zama upstream license text per
BSD-3-Clause-Clear §1-§2.
- LICENSE retains original Zama copyright per the same clause.
description, layout
| description | layout | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TorusML is an open-source, privacy-preserving, machine learning framework based on Fully Homomorphic Encryption (FHE). |
|
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. | build1.png | ||
| Guides | Deploy your projects. | build2.png | ||
| Tutorials | Learn more with tutorials. | 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.
- Security and correctness
- API
- Quantization
- Pruning
- Compilation
- Advanced features
- Project architecture
Support channels
Ask technical questions and discuss with the community. Our team of experts usually answers within 24 hours in working days.
Developers
Collaborate with us to advance the FHE spaces and drive innovation together.