Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

A Abstractive Summarization Implementation with Transformer and Pointer-generator

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

Transformers and related deep network architectures are summarized and implemented here.

Official implementation of our work, A Transformer-based Approach for Source Code Summarization [ACL 2020].

基于Transformer的生成式文本摘要

Abstractive Text Summarization using Transformer

Transformer for abstractive summarization on cnn/daily-mail and gigawords

CLI & Python API to easily summarize text-based files with transformers

A BERT-Transformer network for abstractive text summarization

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

Abstractive and Extractive Text summarization using Transformers.

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"

An AI-powered learning assistant that summarizes educational documents, answers learning queries, and generates quizzes to assess understanding. Built using NLP and transformer-based models to enable faster comprehension and active learning.

This project extracts audio from YouTube videos, converts speech to text using OpenAI Whisper, and summarizes the content using transformer-based NLP models to save time and improve content accessibility.

AI Emotional Mirror is an AI/ML project that analyzes free-form text to summarize thoughts, detect emotions, and generate calm, non-judgmental emotional reflections using NLP, transformers, and generative AI.

Online Inference API for NLP Transformer models - summarization, text classification, sentiment analysis and more

Deploy PhoBERT for Abstractive Text Summarization as REST API using StreamLit, Transformers by Hugging Face and PyTorch

:scorpius::heavy_plus_sign::sagittarius::arrow_right::heavy_check_mark: Build a summarizer models combining transformers and pointing mechanism

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

Automated Question Generator & Summarizer using BERT (Bidirectional Encoder Representations from Transformers)

A super fast walkthrough of NLP Text Summarization with Hugging Face Transformers.

Source Code for "A multi-modal transformer-based code summarization approach for smart contracts"

Video Summarization With Spatiotemporal Vision Transformer

Abstractive Text Summarization with Transformer networks implemented (from scratch) using Keras and Tensorflow

Abstractive summarization model based on pure transformer architecture

An LLM app with Retrieval Augmented Generation (RAG) built using OpenAI GPT models, Langchain Tokenizers, HuggingFace transformers, and Meta BART summarization model wrapped in a NextJS web app hosted completely on AWS

An optimized Transformer based abstractive summarization model with Tensorflow

An abstractive text summarization model based on Transformer Decoder (GPT-2) using Google/Trax.

Multi-modal transformer approach for natural language query based joint video summarization and highlight detection