Evaluation code for various unsupervised automated metrics for Natural Language Generation.
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Updated
Mar 15, 2024 - Python
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
An implementation of skip-thought vectors in Tensorflow
Simple TensorFlow implementation of skip-thought vectors
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
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.
A project for telling stories according to images in some particular style
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
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
Language Model and Skip-Thought Vectors (Kiros et al. 2015)
Text to image synthesis using thought vectors
Bible Classification Task
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