222 Open source projects that are alternatives of or similar to Keras Text Summarization

Multiple implementations for abstractive text summurization , using google colab

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Tensorflow seq2seq Implementation of Text Summarization.

reimplementing Neural Summarization by Extracting Sentences and Words

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Implementation of FontRNN [Computer Graphics Forum, 2019].

A simple open domain generative based chatbot based on Recurrent Neural Networks

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

Neural network that solves math equations on the character level

Deep Learning for Computer Vision (CommE 5052) in NTU

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

A text document will be provided and it'll produce it's summary

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.

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

Neutron: A pytorch based implementation of Transformer and its variants.

Translating English to Yoda English using Sequence-to-Sequence with Tensorflow.

No description or website provided.

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

An AI chatbot using seq2seq

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Simple keras chat bot using seq2seq model with Flask serving web

An implementation of attention-based neural machine translation using Pytorch

A small NLP SAAS project that summarize a webpage

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

Exploring Neural Text Simplification

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

A Keras library for multi-step time-series forecasting.

Library of state-of-the-art models (PyTorch) for NLP tasks

No description or website provided.

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

TextRank implementation for C#

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

Auto Segmentation Criterion (ASG) implemented in pytorch

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Document Search Engine Tool

Text summarization starting from scratch.

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Tensorflow based Neural Conversation Models

A PyTorch Implementation of "Attention Is All You Need"

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Embedding模型代码和学习笔记总结

A minimal nmt example to serve as an seq2seq+attention reference.

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Deep sentence embedding using Sequence to Sequence learning

Abstractive text summarization based on deep learning and semantic content generalization

🎬 Video Captioning: ICCV '15 paper implementation

Gathers Tensorflow deep learning models.

Natural Language Processing notes and implementations.

No description or website provided.

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot