MemN 참고자료

Yu-gyoung Yun 2020. 8. 11. 18:25

- https://github.com/sandrobarna/pytorch_memn2n/blob/master/model.py

sandrobarna/pytorch_memn2n

PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support. - sandrobarna/pytorch_memn2n

github.com

- https://github.com/carpedm20/MemN2N-tensorflow/blob/f8f4da4ca1b3a4afa764748a6907e79ab2be1ffd/model.py#L8

carpedm20/MemN2N-tensorflow

"End-To-End Memory Networks" in Tensorflow. Contribute to carpedm20/MemN2N-tensorflow development by creating an account on GitHub.

github.com

- https://awesomeopensource.com/project/dandelin/Dynamic-memory-networks-plus-Pytorch

Dynamic Memory Networks Plus Pytorch

Dynamic-memory-networks-plus-Pytorch DMN+ implementation in Pytorch for question answering on the bAbI 10k dataset. Contents file description babi_loader.py declaration of bAbI Pytorch Dataset class babi_main.py contains DMN+ model and training code fetch_

awesomeopensource.com