Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
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Updated
Jul 8, 2019 - Python
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
PyTorch Implementation of NBA game summary generator.
In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.
Auto generate text using Markov models.
Util for generating random sentences, paragraphs and articles in English
Fast SEO text generator on a mask.
Use Keras and TensorFlow to generate text using an initial seed character or word.
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A model that generates random recipes. Trained with 50+ Epicurious recipes.
Various text/word generation methods implemented in Unity.
Train a bidirectional or normal LSTM recurrent neural network to generate text on a free GPU using any dataset. Just upload your text file and click run!
Simple text summarizer created by using Tensorflow library.
tegen is a Rust library designed to generate fast text from a given template
Golang text generator for generate SEO texts
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