deep-learning-model-convertor

Why we included this project

Moving a trained model between deep learning frameworks usually means hunting for a converter that actually works, and that search often ends in a stale blog post. This repository collects the conversion tools people have built, official and community alike, into a single table showing which converter handles each source and target framework pair. It is not one tool that converts everything; it is a curated index, so expect to read and test whichever converter you pick before trusting it. The maintainer is upfront that not every entry has been verified, which makes it easier to see which paths are solid and where you should expect gaps. If you are weighing whether a migration from Caffe or MXNet to PyTorch is even feasible, this is a useful map to start from.