230 Open source projects that are alternatives of or similar to parse_seq2seq

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

No description or website provided.

An implementation of attention-based neural machine translation using Pytorch

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

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

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

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

Neural machine translation implementation using dynet's python bindings

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

Pytorch seq2seq chatbot

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.

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

DELTA is a deep learning based natural language and speech processing platform.

PyTorch port of the paper "Language to Logical Form with Neural Attention"

An implementation of RNNsearch using TensorFlow

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Translating English sentences to Marathi using Neural Machine Translation

End-to-end ASR/LM implementation with PyTorch

Sequence to sequence learning using TensorFlow.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Explains nlp building blocks in a simple manner.

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

Natural Language Processing with TensorFlow, published by Packt

[unmaintained] Make seq2seq for keras work

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models

reimplementing Neural Summarization by Extracting Sentences and Words

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

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

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

seq2seq attention tensorflow textrank context

🏖 Easy training and deployment of seq2seq models.

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

PyTorch implementation of beam search decoding for seq2seq models

TensorFlow Implementation of Twitter Chatbot

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Lingvo

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

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

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

Sequence to Sequence Models in PyTorch

Statistical NLG for spoken dialogue systems

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

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

2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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

State of the Art Natural Language Processing

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

Theano implementation of Sequence-to-Sequence Autoencoder

Seq2Seq Chatbot with attention mechanism

It is a question-generator model. It takes text and an answer as input and outputs a question.

Chinese Poetry Generation