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The rename reached the filename and stopped there: the picture still showed the upstream product name, wordmark and palette. It is rebuilt from the canonical Lux wordmark in lux/logo, as SVG.
description, layout
| description | layout | ||||||||||||||||||||
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| Torus ML 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 Torus ML, set it up, and make it run with ease.
| What is Torus ML | Understand the Torus ML library with a full example. | start1.png | getting-started |
| Installation | Follow the step-by-step guide to install Torus ML in your project. | start2.png | pip_installing.md |
| Key concepts | Understand important cryptographic concepts to implement Torus ML. | start3.png | concepts.md |
Build with Torus ML
Start building with Torus ML 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 community.
References & Explanations
Refer to the API, review product architecture, and access additional resources for in-depth explanations while working with Torus ML.
- 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.