sunjianqiu1995 Goto Github PK
Name: sunjianqiu
Type: User
sunjianqiu's Projects
air_pollution_forcast_beijing
基于Keras的LSTM多变量时间序列预测
arima-lstm
a model for traffic flow forecast
arima_lstm
使用arima_lstm完成容量分析预测（cpu、内存、磁盘）
bookmanage
a test with maven ,spring and spring mvc
conv_lstm_telecommunications
Statistical Analysis and predicting future TeleCommunication Data by SVR, ARIMA, LSTM, Conv_LSTM
corr_prediction_arima_lstm_hybrid
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
datatransit
AIS客户端数据报文解析
deep-learning-time-series-prediction-using-lstm-recurrent-neural-networks
This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
ebook-pdf
IT PDF电子书
effective-java-3rd-chinese
effective-java-3rd 中文版 https://sjsdfg.github.io/effective-java-3rd-chinese
ensembetimeseries
Ensemble of ARIMA, prophet and LSTMS RNN
faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
free-programming-books-zh_cn
:books: 免费的计算机编程类中文书籍，欢迎投稿
interviewpreparation
CS Interview preparation for non-CS students
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。
litemall
又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端
load_forecasting
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
loop-factorial
Java basic practice for beginners: control flow
lotterypredict
TensorFlow实战，使用LSTM预测彩票
lstm-arima
medium link is available
lstm-neural-network-for-time-series-prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
lstm_rnn_tutorials_with_demo
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
lstm_tsc
An LSTM for time-series classification
mall
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
ml_chl_prediction
基于Keras框架，结合LSTM/GRU/Arima/WNN实现多方式的水质参数预测
month-and-season
Java basic practice for beginners: control flow
movie_recommend
基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统
news_spark
基于Spark2.x新闻网大数据实时分析可视化系统项目
roncoo-pay
龙果支付系统（roncoo-pay）是国内首款开源的互联网支付系统，拥有独立的账户体系、用户体系、支付接入体系、支付交易体系、对账清结算体系。目标是打造一款集成主流支付方式且轻量易用的支付收款系统，满足互联网业务系统打通支付通道实现支付收款和业务资金管理等功能。
sarima-lstm
建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行检验和分析。
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