MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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Updated
Jun 5, 2020 - Jupyter Notebook
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"
Machine Learning + LSTM Implementation to capture sentiments surrouding the Colombian elections in 2018. Sentiment analysis entirely on Spanish tweets with interesting external data sourcing.
This is a dataset intended to train a LLM model for a completely CVE focused input and output.
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"
Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality.
IT-Based textgeneration with the use of NLP methods. A text summarization task is conducted with the amazon fine food review dataset from Kaggle. This task is done by attention and lstm neural networks.
Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"
업로드한 사진을 기반으로 AI를 통하여 동화책을 자동생성하는 서비스입니다. 사진 화풍 변환, 생성된 글을 수정하고 책을 꾸밀 수 있습니다. 타인의 책을 공유할 수 있습니다.
An Artificial Intelligence Agent that generates text using Deep Neural Networks.
A Bidirectional LSTM Model for lyrics generation
Anonymous-text is a created random generator of letters from your following text. It has a decode function that allows you to change an anonymous text to original text.
This repository contains alpaca-formatted datasets for creating LoRA (Low Rank Adaptation) models for review analysis. The datasets have been enriched with sentiment analysis and keyword extraction information, in addition to review data.
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)
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