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

A small NLP SAAS project that summarize a webpage

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Exploring Neural Text Simplification

Translating English sentences to Marathi using Neural Machine Translation

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

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

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

Sanskrit compound segmentation using seq2seq model

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

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

No description or website provided.

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

Statistical and Semantical Text Summarizer in Persian Language

TextRank implementation for C#

Automatic Text Summarization (English/Arabic).

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

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

Auto Segmentation Criterion (ASG) implemented in pytorch

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Beam search for neural network sequence to sequence (encoder-decoder) models.

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

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

Document Search Engine Tool

Text summarization starting from scratch.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

TensorFlow Implementation of Twitter Chatbot

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

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

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

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

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

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

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

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

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

[unmaintained] Make seq2seq for keras work

Tensorflow based Neural Conversation Models

No description or website provided.

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

A PyTorch Implementation of "Attention Is All You Need"

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

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

🏖 Easy training and deployment of seq2seq models.

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

PyTorch implementation of beam search decoding for seq2seq models

Embedding模型代码和学习笔记总结

Lingvo

Deep sentence embedding using Sequence to Sequence learning

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Abstractive text summarization based on deep learning and semantic content generalization

This repository contains a new adversarial training method for Generative Conversational Agents

Natural Language Processing notes and implementations.

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

Basic Seq2Seq, Attention, CopyNet

Implementation of seq2seq word-level model using keras

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.