seq2seq

Play couplet with seq2seq model. 用深度学习对对联。

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

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

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

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

State of the Art Natural Language Processing

Lingvo

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.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

1st place solution

CakeChat: Emotional Generative Dialog System

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

An open source framework for seq2seq models in PyTorch.

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

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

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

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t5模型，支持GPT2进行文章续写。

Neural conversational model in Torch

Sequence to Sequence Models with PyTorch

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

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

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

Tensorflow seq2seq Implementation of Text Summarization.

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly