A writer that can generate news after a game using live texts.
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Updated
Feb 13, 2019 - Python
A writer that can generate news after a game using live texts.
Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.
毕业设计开源代码 分别实现了抽取式中文文本摘要和生成式中文文本摘要
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
PDF Text Summarization and Q&A Chatbot This project is a Streamlit-based web application that allows users to upload PDF documents, extract and summarize their text content, and interact with a Q&A chatbot to get answers related to the document.
Document based ChatGPT
A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — all without cloud dependencies.
LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections
SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.
a curated repository for benchmarking and evaluating small, open-source language models (LLMs) optimized for edge computing environments (CPU-only or low-VRAM devices). The project focuses on reproducible, interpretable, and standardized evaluation of LLM capabilities across multiple domains .
文本摘要 + TextRank4 + docker
A Django-based text summarizer using Hugging Face Inference API. Features user accounts and history.
This project provides a web-based solution for summarizing news articles using NLP techniques.
Sequence-to-Sequence Deep Learning approach to text summarization
A domain specific chatbot powered by Hugging Face and Python.
Generates relevant prerequisites for the given Wikipedia page.
The package helps users extract key details from short announcements or descriptions. It focuses on understanding the core offering and any associated benefits presented in plain text, without needing
YouTube AI Notes Converter is an intelligent tool that automatically extracts transcripts from YouTube videos and converts them into clean, structured notes using Generative AI. It simplifies learning by summarizing long videos into digestible written content – perfect for students, researchers, and lifelong learners.
Disillation-Tuning implementation for decoder-based models (Qwen2.5) for clinical text summarization
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