There are 6 repositories under generative-text topic.
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
DGMs for NLP. A roadmap.
Novel-generator and generated novels for NaNoGenMo 2013
Experiments conducted for NaNoGenMo 2014
Generate poetry based on text corpus input
A Swift package for seamless integration with OpenAI's API, enabling advanced chat capabilities and token management in your applications
📦 A list of interactive sandboxes that use generative algorithms
Poetry theremin: use Raspberry Pi with hardware sensors to generate poetry using NLP techniques, based on physical light and distance conditions
A Java library to (easily) create GenAI-powered autonomous agents
Fine-tune GPT2 to generate fake job experiences
Generate brand new blog posts from the corpus of text on your own WriteFreely blog.
A collection of characters from the Star Trek universe for use with oobabooga's text generation web ui.
A Swift package for the generation of interesting creative text elements
Exquisite Corpse is a Python Module for generating a random text using the surrealist game.
This is a C# library for generating random text. It is inspired by ideas from Tracery and some similar ideas I came up with on my own before I had found Tracery. (The original version was a haiku generator and that was written before I even knew Tracery existed.)
Máquina Girondo - Algorithm of Generative Texts (Verses and Poems) with the aesthetic party of the argentine poet Oliverio Girondo.
PyTorch implementation of charRNN neural network
Backend para proyecto InnovaXD
Frontend para proyecto educativo InnovaXD
TypeScript Interactive Narratives & Stories will set up a world for you to view and interact with on the web.
CatchGPT: Open-Source Generative AI Text Detection. This project is an open-source solution for detecting text generated by Generative AI models. It includes a machine learning model trained on a diverse dataset of human-generated and AI-generated text. The model can classify new pieces of text as being generated by a human or by an AI.
Using a Markov chain to generate readable nonsense in C#