baoweii's Stars
schwxd/LSTM-Keras-CMAPSS
Using LSTM to predict Remaining Useful Life of CMAPSS Dataset
Azure/lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
healthDataScience/deep-learning-HAR
Convolutional and LSTM networks to classify human activity
Doraemonzzz/Learning-from-data
记录Learning from data一书中的习题解答
LahiruJayasinghe/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
alteryx/predict-remaining-useful-life
Predict remaining useful life of a component based on historical sensor observations using automated feature engineering
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
guanyibing/Fault-diagnosis
基于深度学习机械设备故障诊断模型
MrTangsai/BearLSTM
with LSTM method to solve bearing fault diagnosis classification
ddrrrr/bearing-fault-diagnosis
domain adaption with LSGAN for bearing fault diagnosis
AaronCosmos/wdcnn_bearning_fault_diagnosis
wdcnn轴承故障模型
zhangjiali1201/Keras_bearing_fault_diagnosis
SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
jaungiers/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
BetterTuring/turingWeChatGroups
10个方向的图灵微信技术群相关事宜