chongtwo's repositories
rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Synonyms
:herb: 中文近义词：聊天机器人，智能问答工具包
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
pycorrector
pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
rasa_chatbot_cn
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
albert_zh
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Time_NLP
Time-NLP的python3版本 中文时间表达词转换
BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
cnn-relation-extraction
Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Attention-Based-BiLSTM-relation-extraction
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow
bert
TensorFlow code and pre-trained models for BERT
BERT-NER
Use google BERT to do CoNLL-2003 NER !
MedicalNamedEntityRecognition
Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.
Relation-extraction
关系抽取个人实战总结以及开源工具包使用
tf_ner
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
HandsNeuralWorks
Neural networks and deep learning
hero
angular tutorial
Girl
learning 4 spring boot