Text to image synthesis using thought vectors
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Updated
Jan 30, 2018 - Python
Text to image synthesis using thought vectors
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
An implementation of skip-thought vectors in Tensorflow
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Neural style transfer of text building off of neural storyteller
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
A project for telling stories according to images in some particular style
Simple TensorFlow implementation of skip-thought vectors
Language Model and Skip-Thought Vectors (Kiros et al. 2015)
The task is to perform Text Summarization on emails in languages such as English, Danish, French, etc. using Python.
Bible Classification Task
Domain-specific content summarization API (NLP / Skip Thoughts)
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