pytorch2keras
Convert PyTorch models to Keras (TensorFlow backend) for deployment and interoperability.
What is pytorch2keras?
pytorch2keras is a Python library that converts PyTorch neural network models into Keras models with TensorFlow backend. It solves the problem of framework lock-in by enabling developers to train models in PyTorch and deploy them using Keras/TensorFlow tooling, including export to TensorFlow.js for web applications.
Deep learning engineers and researchers who train models in PyTorch but need to deploy them in TensorFlow-based production environments or convert them to formats like TensorFlow.js for web deployment.
Developers choose pytorch2keras because it provides a simple, code-minimal conversion process with support for many common PyTorch layers and architectures, reducing the need for manual model rewriting and enabling faster experimentation-to-deployment cycles.
Overview
PyTorch to Keras model convertor
Use Cases
Best For
- Converting PyTorch-trained models to Keras for TensorFlow Serving deployment
- Exporting PyTorch models to TensorFlow.js for browser-based inference
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