ysh329/deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
This collection helps machine learning practitioners convert trained deep learning models between different deep learning frameworks like TensorFlow, PyTorch, Caffe, and Keras. If you have a model trained in one framework but need to deploy or use it in another, this resource provides links to various conversion tools. It acts as a central hub for finding ways to adapt your existing models across different platforms.
3,247 stars. No commits in the last 6 months.
Use this if you need to take a deep learning model developed in one framework and convert its architecture and trained weights so it can be used or deployed in a different framework.
Not ideal if you are looking for a single, universal tool that can convert any model between any two frameworks with guaranteed success, as this is a collection of diverse, community-contributed converters.
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Jun 26, 2023
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