Perfect TensorFlow
A TensorFlow C API wrapper enabling machine learning in server-side Swift applications.
What is Perfect TensorFlow?
Perfect TensorFlow is a Swift wrapper for the TensorFlow C API that enables machine learning capabilities in server-side Swift applications. It allows Swift developers to build computational graphs, run sessions, and load pre-trained TensorFlow models directly within their server code. The project integrates with Swift Package Manager and supports cross-platform development on macOS and Linux.
Server-side Swift developers who need to incorporate machine learning features, such as model inference or tensor operations, into their backend applications. It is particularly suited for those already using the Perfect framework or seeking to leverage TensorFlow's ML ecosystem within a Swift environment.
Developers choose Perfect TensorFlow because it provides a native Swift interface to TensorFlow's C API, combining TensorFlow's powerful ML features with Swift's modern syntax and safety. It eliminates the need to bridge to other languages like Python for ML tasks in server-side Swift, offering a seamless integration for building and running ML models directly in Swift.
Overview
TensorFlow C API Class Wrapper in Server Side Swift.
Use Cases
Best For
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
