pytorch reimplementation of quickthoughts paper: https://arxiv.org/pdf/1803.02893.pdf
This is a very rough implementation atm, so feel free to reach out if you're having trouble running the code.
There's also a lot of code for some experiments I ran here in this repo.
First you'll need to pull down the bookcorpus submodule and follow the instructions there to get all.txt.
Next move all.txt to the root folder and then run make data, which will process the data into cleaned.txt.
Next grab the pretrained word vectors by running make pull-vec.
You'll be able to train with make train.
The model will pull from a config file, which can be edited to tune parameters.