📘 Master LangChain and LLMs with hands-on notebooks, covering data ingestion, text processing, and AI application fundamentals for real-world tasks.

SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.

Smart text summarization with BART & Pegasus AI models. Supports text, URLs, and files. Built with FastAPI + Next.js 14. Features: dual model comparison, caching, auth, history tracking.

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

Natural Language Processing

Python package for extractive text summarization using centroid distance

A Text Summarizer deployed to Heroku

A simple implementation and UI of Summary Transformer models. Specifically The pszemraj/led-large-book-summary

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.

Using NLTK Lib to summarise texts

Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке

Leveraging extractive summarization techniques for abstractive summarization.

Natural Language Processing (CSE4022) Text Summarisation Project

Generate a summarized description of a body of text

Automatic summarisation of Medicines's Description

Unsupervised learning model based on exhaustive text summarization

jgtextrank: Yet another Python implementation of TextRank

Simple neural extractive text summarization