YKatser

Time-Series-Library

A Library for Advanced Deep Time Series Models.

tsfel

An intuitive library to extract features from time series.

Rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

LSTM-FCN

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

multivariate-time-series-data

TPA-LSTM

Temporal Pattern Attention for Multivariate Time Series Forecasting

Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

prometheus-anomaly-detector

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

MLSTM-FCN

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

demand_forecast

Deep-learning-in-PHM

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

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.

AnomalyDetection

Twitter's Anomaly Detection in Pure Python

Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

ConvTransformerTimeSeries

Convolutional Transformer for time series

dts

A Keras library for multi-step time-series forecasting.

pssa

Singular Spectrum Analysis for time series forecasting in Python

Predictive-Maintenance-of-Aircraft-Engine

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

RUL-and-SOH-estimation-of-Lithium-ion-satellite-power-systems-using-support-vector-regression

Pipeline to identify remaining useful life of Li-ion batteries using SVR to forecast end of life.

Wind-Energy-Prediction-using-LSTM

Time Series Analysis using LSTM for Wind Energy Prediction.

LSTM-AutoEncoder-Unsupervised-Anomaly-Detection

University Project for Anomaly Detection on Time Series data

Awesome-of-Time-Series-Augmentation

A curated list of time series augmentation resources.

Awesome-Graph-Neural-Network-for-PHM

Early access articles, Journals, and Conferences

ControlCharts

Python implementation of the control charts used for process monitoring and anomaly detection