linguistic-style-transfer-pytorch icon indicating copy to clipboard operation
linguistic-style-transfer-pytorch copied to clipboard

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Results 10 linguistic-style-transfer-pytorch issues
Sort by recently updated
recently updated
newest added

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

for anyone who wishes to use this code, please don't use study the original implementation of the authors.

broken everywhere, good intention to make this code available but make sure to mention this in the read me

This is for all people who are trying to replicate this paper in pytorch. This repo is hopelessly broken, even after fixing all bugs there are still severe implementation oversights...

In the implementation of the decoder, here in linguistic-style-transfer-pytorch/linguistic_style_transfer_pytorch/model.py, in this function "def generate_sentences(self, input_sentences, latent_emb, inference=False):" starting from Line 428, it seems that you are concatenating the content &...

Hi, thanks for your great work!! I was trying to reproduce your results and was able to train the model successfully. However, when trying to run generate.py, I had a...

Hi @h3lio5 , I get this error: FileNotFoundError: [Errno 2] No such file or directory: '/content/linguistic-style-transfer-pytorch/linguistic_style_transfer_pytorch/data/word_embeddings.npy' I looked for the file but it is not there. Where I can find...

In preprocess.py shouldn't it be labels.file.write("neg" + "\n") in line number 57 If it is not the case, negative labels will not generate , right? @h3lio5

Hi, thanks for your great work! It really helped me understand the paper much better. I was able to get the model running but I was wondering if your code...

Bumps [transformers](https://github.com/huggingface/transformers) from 2.1.1 to 4.30.0. Release notes Sourced from transformers's releases. v4.30.0: 100k, Agents improvements, Safetensors core dependency, Swiftformer, Autoformer, MobileViTv2, timm-as-a-backbone 100k Transformers has just reached 100k stars...

dependencies