336 Open source projects that are alternatives of or similar to chinese_ancient_poetry

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.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

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multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

End-to-end ASR/LM implementation with PyTorch

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Deep-Learning Model Exploration and Development for NLP

State of the Art Natural Language Processing

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

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Explains nlp building blocks in a simple manner.

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

😋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）。

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

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.

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

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

[unmaintained] Make seq2seq for keras work

Chinese Poetry Generation

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

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

TensorFlow implementation of Conversation Models

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

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese 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.

reimplementing Neural Summarization by Extracting Sentences and Words

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1st place solution

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

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基于Pytorch的中文聊天机器人 集成BeamSearch算法

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Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex