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Awesome GitHub RepositoriesSwift Interoperability
Calling Python machine learning libraries from Swift code to reuse existing ML tooling.
Distinct from Python Machine Learning Libraries: Distinct from Python Machine Learning Libraries: focuses on Swift-to-Python interoperability for ML, not Python-native ML libraries.
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Awesome Swift Interoperability GitHub Repositories
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- tensorflow/swift
tensorflow/swift
6,131Auf GitHub ansehenSwift for TensorFlow is a custom toolchain that extends the Swift language with first-class automatic differentiation and differentiable types, enabling gradient-based computation directly within the compiler. It integrates the Swift compiler with TensorFlow runtime and XLA backends, allowing tensor operations to be compiled and executed on hardware-accelerated hardware for high-performance machine learning. The project distinguishes itself through compiler-integrated automatic differentiation that computes gradients of user-defined functions and types during compilation, eliminating the need
Enables Swift code to call Python ML libraries directly, reusing existing machine learning tooling.
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