> For the complete documentation index, see [llms.txt](https://openvector.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://openvector.gitbook.io/docs/python-api-references/overview.md).

# Overview

CoFHE offers a seamless integration with PyTorch-like APIs to provide encrypted computation capabilities directly within your Python code. The following are the currently supported API features available in the Python bindings for CoFHE. This API closely mirrors the PyTorch functionality, ensuring an easy transition for PyTorch users to CoFHE for privacy-preserving machine learning.

We are actively working on expanding this documentation, and will provide a more detailed guide once the Python bindings for CoFHE are publicly released. This section covers some of the already supported API.


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