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Table of contents

  • Welcome

Get Started

  • What is Torus ML?
  • Installation
  • Key concepts
  • Inference in the cloud

Built-in Models

  • Linear models
  • Tree-based models
  • Neural networks
  • Nearest neighbors
  • Encrypted dataframe
  • Encrypted training

LLMs

  • Inference
  • Encrypted fine-tuning

Deep Learning

  • Using Torch
  • Using ONNX
  • Step-by-step guide
  • Debugging models
  • Optimizing inference

Guides

  • Prediction with FHE
  • Production deployment
  • Hybrid models
  • Serialization
  • GPU acceleration

Tutorials

  • See all tutorials
  • Built-in model examples
  • Deep learning examples

References

  • API

Explanations

  • Security and correctness
  • Quantization
  • Pruning
  • Compilation
  • Advanced features
  • Project architecture
    • Importing ONNX
    • Quantization tools
    • FHE Op-graph design
    • External libraries

Developers

  • Set up the project
  • Set up Docker
  • Documentation
  • Support and issues
  • Contributing
  • Support new ONNX node
  • Release note
  • Feature request
  • Bug report
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