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构建医疗实体识别的模型,包含词典和语料标注,基于python构建
基于ltp的简单评论观点抽取模块
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。
自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换,拼音转换。tookit(tool) of NLP,CWS(chinese word segnment),POS(Part-Of-Speech Tagging),NER(name entity recognition),Find(new words discovery),Keyword(keyword extraction),Summarize(text summarization),Sim(text similarity),Calculate(scientific calculator),Chi2num(chinese number to arabic number)
Code for ACL 2020 paper: "Extractive Summarization as Text Matching"
Facilitating the design, comparison and sharing of deep text matching models.
Interactive Markov-chain Monte Carlo javascript demo MCMC
Models and examples built with TensorFlow
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
my deep learning practices
自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
a simple message reply suggestion system
Multi-Task Deep Neural Networks for Natural Language Understanding
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Question Generation using Google T5 and Text2Text
Multi-turn dialogue baselines written in PyTorch
个人深度学习项目整理
Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow
物体検出を用いてNARUTOの印(子~亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、Tensorflow2 Object Detection APIを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use Tensorflow2 Object Detection API.)
Search photos on Unsplash using natural language
基于tensorflow深度学习的中文的命名实体识别
Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER
This is a prototype of a multi-lingual suite for named-entity recognition in Python.
Official NetworkX source code repository.
Semi-supervised Learning for Sentiment Analysis
Implementation of topic models based on neural network approaches.
Next RecSys Library
NeuSpell: A Neural Spelling Correction Toolkit
Dockerfile for Nginx + Gunicorn + Flask
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.