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pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch_geometric

Graph Neural Network Library for PyTorch

recommended-journals-for-intelligent-fault-diagnosis

智能故障诊断期刊推荐

regem

Regularized expectation maximization algorithm (Matlab code)

remaining-useful-life-estimation-variational

remaining-useful-life-prediction-for-turbofan-engines

RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN

remaining-useful-life-prediction-rnn

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

rnn_in_forecasting_tool_wear

Maybe the 1st tool wear forecasting by DL

ros_qt5_gui_app

ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)

rotating-machine-fault-data-set

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

rul_prediction

remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

self-supervised-ssl

Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision".

serialtool

A cross platform Serial-Port/TCP/UDP debugging tool.

simscape-triplex-pump

Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape

sp_lib

Signal processing method and algorithm library

sql_node

sql学习笔记。

st-wa

stacked-dcnn-rul-phm21

Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.

step

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

stsgcn

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

tf_gnns

A hackable implementation of GraphNets.

tgn

TGN: Temporal Graph Networks

time-series-forecast-with-deep-hybrid-architecture

Multivariate time-series forecasting with LSTNET and soft-DTW loss

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

tinywebserver

Linux下C++轻量级Web服务器 && A C++ Lightweight WebServer under Linux

tl-for-tsc

利用合成数据生成进行时间序列分类的迁移学习

toolwear_cncmilling

An investigation of tool wear evolution is undertaken by explorying the CNC Milling Dataset of the University of Michigan SMART LAB.

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.