amirbar/rnn.wgan
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
This project helps machine learning researchers explore and develop new ways to generate realistic text without needing extensive pre-training. You provide it with a large dataset of text, and it produces new, similar-sounding text snippets. This tool is for researchers experimenting with generative adversarial networks (GANs) for language tasks.
252 stars. No commits in the last 6 months.
Use this if you are a researcher focused on advancing the field of text generation, specifically using GANs without pre-training.
Not ideal if you need a ready-to-use text generation tool for an application or if you are not comfortable with machine learning research workflows.
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Python
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Last pushed
Apr 11, 2018
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