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-long-term-environmental-exposurest

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

gbrt-for-tsf

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

python

All Algorithms implemented in Python

rsome-paper-numerical-cases

robust optimization

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

soda_t2fts

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