1050 Open source projects that are alternatives of or similar to Tf Seq2seq

An implementation of attention-based neural machine translation using Pytorch

An implementation of RNNsearch using TensorFlow

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

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

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

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

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Open-Source Neural Machine Translation in Tensorflow

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Pytorch seq2seq chatbot

Neural machine translation implementation using dynet's python bindings

Sequence-to-Sequence Framework in PyTorch

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

Minimalist NMT for educational purposes

Translating English sentences to Marathi using Neural Machine Translation

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

A list of Neural MT implementations

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Neural Machine Translation with Keras

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

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

NLP made easy

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

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

State of the Art Natural Language Processing

SLING - A natural language frame semantics parser

Neural Models for Conversational AI

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

PyTorch implementation of beam search decoding for seq2seq models

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Multiple implementations for abstractive text summurization , using google colab

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Chinese Poetry Generation

🏇 聊天机器人，自然语言理解，语义理解

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

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

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

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

Ruby SDK for Dialogflow

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Explains nlp building blocks in a simple manner.

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

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

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

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

No description or website provided.

Conversation models in TensorFlow. (website removed)

Using LSTM or Transformer to solve Image Captioning in Pytorch

Image captioning using attention models

Embedding模型代码和学习笔记总结

An AI chatbot using seq2seq

Compendium of the resources available from top NLP conferences.

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

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