270 Open source projects that are alternatives of or similar to Text Summarization Tensorflow

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.

Text summarization using seq2seq in Keras

reimplementing Neural Summarization by Extracting Sentences and Words

Embedding模型代码和学习笔记总结

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

A neural network that transforms a design mock-up into a static website.

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

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

News summarization using sequence to sequence model with attention in TensorFlow.

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Sequence to sequence learning using TensorFlow.

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

BERT for Multitask Learning

Tutorials for TensorFlow APIs the official documentation doesn't cover

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

[unmaintained]

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

🔥💥RxFFmpeg 是基于 ( FFmpeg 4.0 + X264 + mp3lame + fdk-aac + opencore-amr + openssl ) 编译的适用于 Android 平台的音视频编辑、视频剪辑的快速处理框架，包含以下功能：视频拼接，转码，压缩，裁剪，片头片尾，分离音视频，变速，添加静态贴纸和gif动态贴纸，添加字幕，添加滤镜，添加背景音乐，加速减速视频，倒放音视频，音频裁剪，变声，混音，图片合成视频，视频解码图片，抖音首页，视频播放器及支持 OpenSSL https 等主流特色功能

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Links to the implementations of neural conversational models for different frameworks

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

seq2seq中文聊天机器人

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

Minimalist NMT for educational purposes

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Implementation of State-of-the-art Text Classification Models in Pytorch

Well tested & Multi-language evaluation framework for text summarization.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

An open-source tool for sequence learning in NLP built on TensorFlow.

Pytorch seq2seq chatbot

Text summarization starting from scratch.

Pytorch NLP library based on FastAI

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

End-to-end ASR/LM implementation with PyTorch

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

TextBox is an open-source library for building text generation system.

Sequence-to-Sequence learning using PyTorch

Basic Seq2Seq, Attention, CopyNet

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

No description or website provided.

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Generating bash command from natural language https://arxiv.org/abs/1802.08979

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

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

This repository contains a new generative model of chatbot based on seq2seq modeling.

text generation based on transformer

Implementation of seq2seq word-level model using keras

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

FFmpegCommand适用于Android的FFmpeg命令库，实现了对音视频相关的处理，能够快速的处理音视频，大概功能包括：音视频剪切，音视频转码，音视频解码原始数据，音视频编码，视频转图片或gif，视频添加水印，多画面拼接，音频混音，视频亮度和对比度，音频淡入和淡出效果等

Conversation models in TensorFlow. (website removed)

Exploring Neural Text Simplification

Experiments with satellite image data

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)