Textual steganography using n-grams and biblical verses: Anoint thy data!
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Updated
Mar 14, 2015 - Python
Textual steganography using n-grams and biblical verses: Anoint thy data!
Software that generates text in the style of the oeuvre that is added as argument (in plain text). Every run provides unique output, stored with a randomized integer in the output filename.
A generative adversarial network for text generation, written in TensorFlow.
Tiny Character-based Maximum Likelihood Text Generator
Generates text in the style of Arthur Conan Doyle's Sherlock Canon using deep learning.
A Recurrent Neural Network program to autogenerate texts similar to the Bible.
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
Computer generated Sherlock Holmes Stories! LSTM-RNN based style-imitative text generation
模仿莎士比亚创作戏剧!屌炸天的是还能创作金庸武侠小说!快star,保持更新!!
Text Generation using basic RNN from scratch using Python and Numpy.
HDLSS analysis of gene expression data for predicting cancer. Classification of cats & dogs. Generation of text using LSTM.
A character-level RNN implementation in Tensorflow
An LSTM (Long Short Term Memory) model trained to write like Conan Doyle's Sherlock.
Text generation using LSTM model with Ponniyin Selvan story
generates new poem using a Tensorflow RNN
Natural Language Generation with Markov
Implementing a GRU RNN with Python and Theano for generating Reddit comments
The text generator based on the Markov chain.
Character Embeddings Recurrent Neural Network Text Generation Models
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