Skip to content

An aspiring attempt to generate a continuous space of sentences with DenseNet

Notifications You must be signed in to change notification settings

talolard/DenseContinuousSentances

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Working towards implementing Generating Sentences from a Continuous Space but with DenseNet

Someone on Reddit asked for an implementation of DenseNet for text (eg 1d convs) so I'm posting this here half baked. If thats what you are after look in the models directory. If you want to help with the implementation of the paper pull requests are welcome.

Using this

models.baseline_conv_env_dec is an attempt at an autoencoder comprised of a DenseNet encoder and a "deconvolution" decoder. The decoder part still needs work but it does something on short sentances (16 chars) Run

python train.py

To train on the default data. Look in arg_getter.py for the args you can pass.

##Acknoledgemnts I borrowed code liberally from other Repos. I promise I'll mention you soon, I just wanted to get this up quick for the guy on Reddit.

About

An aspiring attempt to generate a continuous space of sentences with DenseNet

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages