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.

Promoting critical thinking through machine-generated prompts.

한국어 자연어 처리 모델 미세조정

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!

KRLawGPT : Generative Pre-trained Transformer for producing Korean Legal Text

This project is Genratve AI and AI-powered content generation tool that leverages Hugging Face's models to create customized content based on user queries. The application is built using Streamlit and provides an interactive UI for generating content tailored to different age groups and task types.

Train Markov models on Internet Archive text files.

Python编写的处理法务邮单自动批量生成的脚本小工具-提取判决书内容免去手输填充邮单-Legal agency postal receipt automatically generate app

Code to scrape data and create a trap music generator using LSTM RNN

unicode text generator to make flip turned bold italic greek fraktur cursive script from ascii input

The server on which connects AIdventure game.

MIRROR of https://codeberg.org/catseye/relwrite : Relate strings to strings via a grammar in the Chomsky hierarchy

python rhyme generator

Python 版本 - 唬爛產生器

🧙‍♂️⛓💍 Text generator using a Markov Chain, model trained on the Lord of The Rings Trilogy. Python 3.6

Using language modelling to develop a text-completion application; studying interpolation of several n-gram models and opimisation of interpolation weights to minimise the perplexity of the model.

Generates "natural-sounding" text using a Markov model and sample textual training input. Given some sample text from which to build a model, the program prints out one or more sentences by randomly traversing a Markov chain that models the source text.