Alternatives and similar repositories for xgb-classification:

Users that are interested in xgb-classification are comparing it to the libraries listed below

• win-z / diagnosis_of_rotating_machinery
  基于无监督和迁移学习的旋转机械故障诊断
  ☆32Updated 5 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆38Updated 7 years ago
• wangzhijie / LSTM-SVM-Classify
  LSTM和SVM实现设备故障诊断
  ☆49Updated 6 years ago
• KuoHaoJun / SimilarityRUL
  基于相似性的剩余寿命预测
  ☆15Updated 5 years ago
• cputnam / FEMTO
  Spark - Bearing RUL Predictions
  ☆19Updated 8 years ago
• fee78520 / Bearing-fault-prediction
  轴承有3种故障：外圈故障，内圈故障，滚珠故障，外加正常的工作状态。如表1所示，结合轴承的3种直径（直径1,直径2,直径3），轴承的工作状态有10类
  ☆32Updated 6 years ago
• schwxd / model-based-transfer-for-bearing-diagnosis
  ☆11Updated 6 years ago
• ultimatejoe / rul_of_cutter
  刀具剩余寿命预测
  ☆71Updated 5 years ago
• n3iii0 / LSTM-Lifetime-Estimation
  This LSTM is used to predict the rest useful lifetime of ball-bearings. Its programmed with Pytorch and uses the PRONOSTIA Dataset.
  ☆20Updated 5 years ago
• woshiyiduohua / paper-reading
  故障诊断方面的论文阅读
  ☆16Updated 5 years ago
• srijanee / DGA
  A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.
  ☆17Updated 7 years ago
• zhengmingzhang / Gearbox-fault-detect-matlab
  Use SAE to classify the fault of gearbox
  ☆20Updated 6 years ago
• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆32Updated 5 years ago
• popppig / analog-circuits-fault-diagnosis
  analog circuits fault diagnosis
  ☆8Updated 7 years ago
• RonakDedhiya / Early-Warning-Fault-Detection
  ☆16Updated 7 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆61Updated 7 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆45Updated 6 years ago
• lnptuonli / cwru
  轴承故障诊断实验 17级15组
  ☆14Updated 4 years ago
• ddrrrr / bearing-fault-diagnosis
  domain adaption with LSGAN for bearing fault diagnosis
  ☆73Updated 6 years ago
• ddrrrr / project_FD
  deep learning methods for bearing fault diagnosis
  ☆13Updated 6 years ago
• haitaozhao / LSTM_fault_detection
  ☆53Updated 7 years ago
• bhushangawde / Fault-Diagnosis-of-Roller-Bearings
  ☆23Updated 2 years ago
• denggang123 / fault_diagnosis_spiral_CNN
  基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法
  ☆10Updated 5 years ago
• Neovairis / RUL-estimation-based-on-FCN-LSTM
  For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.
  ☆14Updated 4 years ago
• RyanWangCode / PHM
  Industrial intelligence
  ☆9Updated 6 years ago
• wangsongchen / Gear-fault-diagnosis
  齿轮故障诊断
  ☆27Updated 5 years ago
• POGE0124 / frequency-fault-diagnosis-software
  基于深度学习的频率类故障实时诊断软件
  ☆8Updated 7 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆68Updated 6 years ago
• sabderra / predictive-maintenance-lstm
  Predicting the Remaining Useful Life (RUL) of simulated turbofan data using Keras and LSTM.
  ☆36Updated 6 years ago
• viralpandey / rul_using_CNN_LSTM
  Predict remaining useful life of a machine from it's historical data using CNN and LSTM
  ☆30Updated 5 years ago