neuropod
A uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, and Keras in C++ and Python.
What is neuropod?
Neuropod is a library that provides a uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, Keras, and TorchScript. It solves the problem of framework lock-in by allowing researchers to build models in their preferred framework while simplifying production deployment with a consistent inference API.
Machine learning engineers and researchers who need to deploy models from various deep learning frameworks into production environments, especially those working in teams using multiple frameworks.
Developers choose Neuropod because it eliminates framework-specific inference code, enables easy model swapping, and provides tools like Problem APIs to standardize and optimize ML pipelines across different frameworks and versions.
Overview
A uniform interface to run deep learning models from multiple frameworks
Use Cases
Best For
- Standardizing inference pipelines across TensorFlow, PyTorch, and Keras models
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