[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
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Updated
Mar 7, 2024 - Python
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
R Interface to OpenAI's GPT-2 model
Generate fake restaurant reviews with GPT-2 using Yelp Dataset
Code for "Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection"
Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)
Auto Complete anything using a gguf model
Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"
A Query-Answer chatbot for PDFs using local Large language and Embeddings models. Please read this readme fully before using.
This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, and writing style to generate engaging blog content.
actively maintained python package to easily retrain OpenAI's GPT-2 text-generating model on new texts using tensorflow v1 (with AMD / Intel GPU using directml)
Walkthrough of a basic text generation in both R and Python
Built a health fitness app that allows you to view your health data from a fitbit device, and implement OpenAI's GPT API to generate health reports and personalized workout schedules,
An Artificial Intelligence Agent that generates text using Deep Neural Networks.
Using Unilm-Chinese to generate Chinese couplets. 使用unilm中文版来生成中文对联。
Train char-rnn with Glassdoor reviews and generate sentences
This repository provides examples for using the FreeGPT module, a lightweight Python library for integrating GPT (Generative Pre-trained Transformer) capabilities into various applications. These examples demonstrate how to leverage FreeGPT for a range of tasks.
Sample Python Program, trained using Markov Chains to generate random sentences based on start word
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