VICKY-ZZ's repositories
kindle_export
kindle导出的diy小程序，如果有可以帮助到你，我的荣幸之至啦~帮忙star一下，满足我的虚荣心~嘿嘿 This is a script about exporting clippings and thoughts on kindle using Python for Windows
Multivariate-time-series-forecasting-using-LSTM
微信上看到的一个LSTM预测股票的练手小程序
templateNER
Source code for template-based NER
Read_Bert_Code
Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子
PrivacyNER_with_NoisyData_CCF
Cascade bert+word vec and one layer FLAT, trained by adversarial FGM and Stochastic Weight Averaging
portfolio-data-science
portfolio-data-science
EXTRACTOR
APT
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
nlp-beginner
NLP上手教程
RAGA
Relation-aware Graph Attention Networks for Global Entity Alignment
competition_codes
fraud code
semeval-2021-task-7
SemEval 2021 Task 7
mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
albert-chinese-ner
使用预训练语言模型ALBERT做中文NER
BERT-for-Cybersecurity-NER
An implementation of BERT for cybersecurity named entity recognition
MTLAT
Code for Multi-Task Learning Based on Adversarial Training for Chinese Cybersecurity NER
TTPDrill-0.5
TTPDrill focuses on developing automated and context-aware analytics of cyber threat intelligence to accurately learn attack patterns (TTPs) from commonly available CTI sources in order to timely implement cyber defense actions.
TTPDrill-0.3
TTPDrill focuses on developing automated and context-aware analytics of cyber threat intelligence to accurately learn attack patterns (TTPs) from commonly available CTI sources in order to timely implement cyber defense actions.
password_brute_dictionary
口令爆破字典，有键盘组合字典、拼音字典、字母与数字混合这三种类型
Data-Analysis
Data Science Using Python
speedbreaker-pothole-detector
Speed breaker and pothole detection using deep learning (tensorflow models). I have used SSD mobilenet and Faster RCNN algorithms on the dataset.
NER-PyTorch
记录自己用的BILSTM-CRF、ELMo、BERT等来做NER任务的代码。
Python-100-Days
Python - 100天从新手到大师
flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.