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We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.
Developed a Named Entity Recognition (NER) model with an integrated text summarizer to efficiently extract and summarize key information from unstructured text data.
A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.
The repository offers a different UI for ChatGPT API that enables rephrasing or summarizing text in particular tone or style, aiding people in effectively conveying their ideas.
DarkGPT Chat Explorer is an interactive web application that allows users to engage in conversations with various GPT (Generative Pre-trained Transformer) models in real-time. This repository contains the source code for the application.
This is a NLP project for Text Summarization which is built with Flask(RESTapi) and deployed on Heroku(PaaS) using NLTK for summarizing text. Here this app takes your huge paragraphs and gives out the only repeating sentences which are important for you.