394 Open source projects that are alternatives of or similar to Nlp Tools

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。

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。

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.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

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

Papers and Book to look at when starting NLP 📚

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

Named Entity Recognition (LSTM + CRF) - Tensorflow

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

PyTorch implementation of beam search decoding for seq2seq models

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

a sklearn wrapper for Google's BERT model

ESC/POS (thermal, receipt) printing for Flutter & Dart

TensorFlow implementation of Conversation Models

Statistical NLG for spoken dialogue systems

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

基于Pytorch的中文聊天机器人 集成BeamSearch算法

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Medical Concept Annotation Tool

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。

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

BNLP is a natural language processing toolkit for Bengali Language.

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

面向中文电子病历的命名实体识别

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

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

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

🏖 Easy training and deployment of seq2seq models.

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

top 1% solution to toxic comment classification challenge on Kaggle.

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

Minimarket Point Of Sales (POS) software writen in C++ with Qt framework

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

A Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.

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.

🎁 Your Open web framework, designed with big in mind. Flask with Django advantages. Build your management systems, ERP products & mobile backend (coming soon). Small business needs apps included by default. First timers friendly. Email: [email protected] | password: pass

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

搜索所有中文NLP数据集，附常用英文NLP数据集

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

State of the Art Natural Language Processing

比特币的python简易实现，主要介绍比特币底层技术。如Base58编码、椭圆加密算法、MerkleTree、P2P对等网络、RPC通信、UTXO、虚拟机、DHT、DAG、链上数据的持久化存储等。

ChineseNER based on BERT, with BiLSTM+CRF layer

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

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

1st place solution

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

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

Lingvo

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

datagrand 2019 information extraction competition rank9

TUTA Point of Sale Using Laravel & Angularjs Framework