tfgo
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
What is tfgo?
tfgo is a Go library that simplifies using TensorFlow's Go bindings by providing a cleaner, more intuitive API. It addresses common pain points like manual scoping and runtime type errors through automatic scoping and type conversion, enabling developers to write more pleasant and efficient Go code for machine learning tasks.
Go developers working on machine learning projects who need to integrate TensorFlow models or perform graph-based computations, particularly those serving models trained in Python or implementing computer vision tasks in Go.
Developers choose tfgo over raw TensorFlow Go bindings because it eliminates scoping issues, prevents runtime type errors with automatic conversion, and offers a fluent API with method chaining for concise code. It also uniquely supports serving TensorFlow models trained in Python directly in Go and provides dedicated computer vision operations.
Overview
Tensorflow + Go, the gopher way
Use Cases
Best For
- Serving TensorFlow models trained in Python (e.g., Keras or tf.function) directly in Go using the SavedModel format.
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