Pinned Repositories
A-case-of-the-intelligent-bearing-fault-diagnosis
This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
algorithms
算法学习与总结
Attention-based-CNN-BiLSTM-Battery-SOH-Prediction
Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries
awesome-go
A curated list of awesome Go frameworks, libraries and software
BiliSpy_Vue
基于SpringBoot+Vue开发的视频网站数据分析系统——Vue前端
bypass-paywalls-
Bypass Paywalls web browser extension for Chrome and Firefox.
CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
chinaStockSpider
爬取网易财经的股票交易数据,写入csv文件。
NASA
Analysis for NASA data sets
Liujun0715's Repositories
Liujun0715/awesome-go
A curated list of awesome Go frameworks, libraries and software
Liujun0715/NASA
Analysis for NASA data sets
Liujun0715/A-case-of-the-intelligent-bearing-fault-diagnosis
This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out
Liujun0715/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
Liujun0715/Attention-based-CNN-BiLSTM-Battery-SOH-Prediction
Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries
Liujun0715/bypass-paywalls-
Bypass Paywalls web browser extension for Chrome and Firefox.
Liujun0715/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
Liujun0715/Deep-learning-in-PHM
Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction
Liujun0715/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Liujun0715/DES-VMD-LSTM-GPR
Liujun0715/example
A simple example show how to quickly run GoAdmin
Liujun0715/go-demo
Go语言实例教程从入门到进阶,包括基础库使用、设计模式、面试易错点、工具类、对接第三方等
Liujun0715/go-study-index
Go 语言学习资料索引
Liujun0715/graphql-apis
📜 A collective list of public GraphQL APIs
Liujun0715/home
ApacheCN 开源组织:公告、介绍、成员、活动、交流方式
Liujun0715/hybrid-model-with-cnn-lstm-python
Hybrid Model with CNN and LSTM for VMD dataset using Python
Liujun0715/Informer_TS_liu
Use informer model to forecast time series.
Liujun0715/interview-questions
Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯,阿里,字节跳动,Shopee,美团,滴滴高频面试题
Liujun0715/leetcode
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
Liujun0715/LSTM
基于LSTM的时间序列预测研究
Liujun0715/pywt
PyWavelets - Wavelet Transforms in Python
Liujun0715/Remaining-Useful-Life-Prediction-RNN
Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks
Liujun0715/sprout
Golang logging library supporting log retrieval.
Liujun0715/TimeMachine
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Liujun0715/TimeSeriesForecast-Informer_liu
Liujun0715/tods
TODS: An Automated Time-series Outlier Detection System
Liujun0715/toy-web
用于极客时间go基础课程
Liujun0715/VMD-CNN-LSTM-AM-wind-power-forecast
Liujun0715/xorm
xorm是一个简单而强大的Go语言ORM库,通过它可以使数据库操作非常简便。本库是基于原版xorm的定制增强版本,为xorm提供类似ibatis的配置文件及动态SQL支持,支持AcitveRecord操作
Liujun0715/YouTube-Blog
Codes to complement YouTube videos and blog posts on Medium.