Files
ml-sdk/deps_licenses/licenses_linux_user.txt
zeekay 531fc57003 chore(brand): purge Zama refs across docs, README, configs — phase 1
Brand-only sweep. Touches READMEs, docs, package metadata, comments,
notebook markdown, requirements.txt files; does NOT yet touch Python
`concrete.*` imports (those are module-level dependencies requiring the
phase-2 Python module port from `concrete` → `torus`).

Substitutions applied:

  Concrete ML                  → TorusML
  concrete-ml                  → torus-ml
  Concrete-ML                  → Torus-ML
  concrete_ml                  → torus_ml
  zama-ai/concrete-ml          → luxfhe/ml-sdk
  zama-ai/concrete             → luxfhe/torus
  github.com/zama-ai           → github.com/luxfhe
  docs.zama.ai/concrete-ml     → docs.luxfhe.com/ml-sdk
  docs.zama.ai/concrete        → docs.luxfhe.com/torus
  Zama Concrete ML             → Lux TorusML
  Zama Concrete                → Lux Torus
  Zama tfhe-rs / Zama TFHE-rs  → Lux-FHE
  tfhe-rs / TFHE-rs            → Lux-FHE
  Zama fhEVM / fhEVM           → TorusEVM
  Concrete framework           → Torus framework
  Concrete compiler            → Torus compiler
  Concrete by Zama             → Torus by Lux
  the Zama team                → the Lux Industries team
  Zama's                       → Lux Industries'
  (Zama)                       → (Lux)
  CoFHE / Fhenix               → (removed)

LICENSE: original Zama copyright RETAINED per BSD-3-Clause-Clear §1-§2
requirements; Lux Industries modifications copyright added. Per §3 no
name of ZAMA used to endorse the derived work — product marketed
exclusively as TorusML.

README image URLs migrated to github.com/luxfhe/ml-sdk/assets to break
the dependency on Zama's CDN.

Hit count: 350 → 295. Residual hits are Python `from concrete.fhe import`
imports referencing the upstream Zama `concrete` PyPI package; these
require module-level port (phase 2):

  Phase 2 plan:
    1. Fork zama-ai/concrete (the Python compiler) to luxfhe/torus
    2. Rename Python module `concrete` → `torus`; PyPI publish as `torus-fhe`
    3. Update ml-sdk imports from `concrete.fhe` → `torus.fhe`, etc.
    4. Wire `torus.compiler` GPU dispatch through `luxcpp/gpu` vtbl
       (lux-private/gpu-kernels for CUDA/Metal/WebGPU/FPGA targets)
    5. Port concrete-cuda + concrete-mlir kernels to
       lux-private/gpu-kernels/{cuda,metal,wgsl}/ckks/ (matrix-vector
       mul, rescale, rotate, bootstrap for TorusML inference)

  Phase 3 plan (kernels):
    - CKKS/BGV/BFV GPU kernels in lux-private/gpu-kernels/
      (currently only TFHE PBS / keyswitch / blind-rotate exist)
    - FPGA bitstreams in lux-private/fpga/ (currently scaffold only)

Phase 1 = docs/branding sweep. PR not opened; user reviews and merges.
2026-05-29 13:53:42 -07:00

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Name, Version, License
Jinja2, 3.1.6, BSD License
MarkupSafe, 2.1.5, BSD License
PyYAML, 6.0.2, MIT License
brevitas, 0.10.2, UNKNOWN
certifi, 2025.1.31, Mozilla Public License 2.0 (MPL 2.0)
charset-normalizer, 3.4.1, MIT License
coloredlogs, 15.0.1, MIT License
torus-ml-extensions, 0.1.9, BSD-3-Clause-Clear
concrete-python, 2.10.0, BSD-3-Clause
dependencies, 2.0.1, BSD License
dill, 0.3.9, BSD License
filelock, 3.16.1, The Unlicense (Unlicense)
flatbuffers, 25.2.10, Apache Software License
fsspec, 2025.3.0, BSD License
huggingface-hub, 0.29.3, Apache Software License
humanfriendly, 10.0, MIT License
hummingbird-ml, 0.4.11, MIT License
idna, 3.10, BSD License
importlib_resources, 6.4.5, Apache Software License
joblib, 1.4.2, BSD License
jsonpickle, 4.0.2, BSD License
mpmath, 1.3.0, BSD License
networkx, 3.1, BSD License
numpy, 1.26.4, BSD License
nvidia-cublas-cu12, 12.1.3.1, Other/Proprietary License
nvidia-cuda-cupti-cu12, 12.1.105, Other/Proprietary License
nvidia-cuda-nvrtc-cu12, 12.1.105, Other/Proprietary License
nvidia-cuda-runtime-cu12, 12.1.105, Other/Proprietary License
nvidia-cudnn-cu12, 8.9.2.26, Other/Proprietary License
nvidia-cufft-cu12, 11.0.2.54, Other/Proprietary License
nvidia-curand-cu12, 10.3.2.106, Other/Proprietary License
nvidia-cusolver-cu12, 11.4.5.107, Other/Proprietary License
nvidia-cusparse-cu12, 12.1.0.106, Other/Proprietary License
nvidia-nccl-cu12, 2.20.5, Other/Proprietary License
nvidia-nvjitlink-cu12, 12.8.93, Other/Proprietary License
nvidia-nvtx-cu12, 12.1.105, Other/Proprietary License
onnx, 1.17.0, Apache License v2.0
onnxconverter-common, 1.13.0, MIT License
onnxmltools, 1.13.0, Apache Software License
onnxoptimizer, 0.3.13, Apache License v2.0
onnxruntime, 1.18.0, MIT License
packaging, 24.2, Apache Software License; BSD License
pandas, 2.0.3, BSD License
protobuf, 3.20.3, BSD-3-Clause
psutil, 5.9.8, BSD License
python-dateutil, 2.9.0.post0, Apache Software License; BSD License
pytz, 2025.2, MIT License
requests, 2.32.3, Apache Software License
scikit-learn, 1.5.0, BSD License
scipy, 1.13.1, BSD License
six, 1.17.0, MIT License
skl2onnx, 1.18.0, Apache Software License
skops, 0.5.0, MIT
skorch, 0.11.0, new BSD 3-Clause
sympy, 1.13.3, BSD License
tabulate, 0.8.10, MIT License
threadpoolctl, 3.6.0, BSD License
torch, 2.3.1, BSD License
tqdm, 4.67.1, MIT License; Mozilla Public License 2.0 (MPL 2.0)
triton, 2.3.1, MIT License
typing_extensions, 4.12.2, Python Software Foundation License
tzdata, 2025.2, Apache Software License
unfoldNd, 0.2.3, MIT License
urllib3, 2.2.3, MIT License
xgboost, 1.6.2, Apache Software License
z3-solver, 4.13.0.0, MIT License