Bible Classification Task
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Updated
Nov 9, 2017 - HTML
Bible Classification Task
Domain-specific content summarization API (NLP / Skip Thoughts)
The task is to perform Text Summarization on emails in languages such as English, Danish, French, etc. using Python.
Language Model and Skip-Thought Vectors (Kiros et al. 2015)
Simple TensorFlow implementation of skip-thought vectors
A project for telling stories according to images in some particular style
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.
Neural style transfer of text building off of neural storyteller
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
An implementation of skip-thought vectors in Tensorflow
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Text to image synthesis using thought vectors
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