ruiluhuang's repositories
Auto_Attendance
中南大学nCov健康打卡定时自动脚本 [请勿滥用]
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-time-series
list of papers, code, and other resources
data-analysis
data analysis
deeplearning_timeseries
Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
Ebook-An_introduction_to_robust_optimization
robust optimization
facility-location-gurobi
Exact approach to solve the facility location problem with Gurobi.
Facility-Location-in-Genetic-Algorithm
This project use genetic algorithm to solve the facility location problem in matlab.
flu_multistep_prediction
This repository contains the Comprehensive Learning Particle Swarm Optimization based Machine Learning(CLPSO-ML) framework, incorporating two ML methods(SVR & MLP) and three multi-step-ahead strategies(iterated strategy, direct strategy and MIMO strategy), for multi-step-ahead influenza prediction.
Forecasting-Demand-Primary-Health-Care
Predicting Demand in Primary Health Care Centers in Lebanon: Insight from Syrian Refugees Crisis
fuzzy_time_series_predictor
Implementation of several proposed algorithms to fuzzy time series prediction
Generalized_Additive_Models
Code for some of the statistics tools found in "Generalized Additive Models" by T.J. Hastie and R.J. Tibshirani
Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
LSTM-XGBoost
LSTM-XGBoost Time Series Forecasting
Multivariate-multi-step-time-series-forecasting-via-LSTM
多元多步时间序列的LSTM模型预测——基于Keras
Patient_Admission_Scheduling_Optimization
Optimizing the patient admission scheduling plan to minimize all cost and waiting time
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
rsome-paper-numerical-cases
robust optimization
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats
time-windows-TimeSeriesMoonlightBox
Time Series Analysis Models Source Code with Deep Learning Algorithms
TimeSeriesAnalysiswithPython
Time Series Analysis with Python
VMD
variational mode decomposition and its variants