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Rudimentary Conv4D Layer Implementation for PyTorch

pytorch-conv4d

This repository contains a simple PyTorch port of the conv4d for TensorFlow repository by Jan Funke. It consists essentially of a single class, Conv4d, which provides a (still rather rudimentary) PyTorch layer for 4-dimensional convolutions. Like the original, it works by performing and stacking several 3D convolutions (see the original repository for a more detailed explanations).

This implementation is still work in progress (hence it comes with no warranties whatsoever), and pull requests or advice for improvements are very much welcome! :)