jonasrauber/eagerpy
A Python library providing a unified API across PyTorch, TensorFlow, JAX, and NumPy for writing framework-agnostic tensor operations.
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EagerPy is a Python framework that enables writing code that automatically works natively with PyTorch, TensorFlow, JAX, and NumPy. It provides fully chainable methods on tensor objects and extensive type annotations. Operations are translated directly into native operations of the underlying framework, ensuring performance while offering a consistent API across backends.
Frequently asked
- What is jonasrauber/eagerpy?
- A Python library providing a unified API across PyTorch, TensorFlow, JAX, and NumPy for writing framework-agnostic tensor operations.
- Is eagerpy open source?
- Yes — jonasrauber/eagerpy is open source, released under the MIT license.
- What language is eagerpy written in?
- jonasrauber/eagerpy is primarily written in Python.
- How popular is eagerpy?
- jonasrauber/eagerpy has 698 stars on GitHub.
- Where can I find eagerpy?
- jonasrauber/eagerpy is on GitHub at https://github.com/jonasrauber/eagerpy.