Alternatives and similar repositories for CSDN-code-link

Users that are interested in CSDN-code-link are comparing it to the libraries listed below

• huster123 / c-mapss-full-dataset-
  完整的航空发动机一维卷积神经网络训练模型
  ☆63Updated 6 years ago
• vvanggeng / TSC-CNN
  基于一维卷积神经网络（1D-CNN）的多元时间序列分类
  ☆80Updated 5 years ago
• Xiaoyi2001 / PSO-LSTM
  ☆31Updated 2 years ago
• sanshuishou / -VMD-Attention-LSTM-
  基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更大的数据集训练）
  ☆67Updated 2 years ago
• Andy-design-code / Bayesian-MCMC-Prognostics
  this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.
  ☆20Updated 4 years ago
• zhangxiaoling / Bearing-fault-detection
  轴承故障检测 训练赛第30名代码
  ☆136Updated 6 years ago
• dou52885288 / Lstm_fault_detection
  fault detection in wind turbines
  ☆17Updated 5 years ago
• wangfin / 1DCNN_Fault_Detection
  1DCNN Fault Detection（1DCNN的轴承故障诊断）
  ☆186Updated 3 years ago
• M73ACat / ResNet-1D-DRSN-1D
  A python program to build ResNet-1D model and DRSN-1D model in keras environment.
  ☆11Updated 2 years ago
• ddrrrr / projectRUL
  to prediction the remain useful life of bearing based on 2012 PHM data
  ☆302Updated 4 years ago
• Abhijit-Bhumireddy99 / RUL_Prediction
  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…
  ☆188Updated last year
• QinYi-team / Code
  ☆112Updated 3 years ago
• zhangjiali1201 / Keras_bearing_fault_diagnosis
  ☆214Updated 6 years ago
• aquafina2332 / EMD-Transformer-BiLSTM
  Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM
  ☆42Updated last year
• BBT0524 / diagnose_fault_by_vibration
  毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。
  ☆133Updated 4 years ago
• luffydod / BRTdata_predict
  RNN、LSTM、CNN+LSTM、GRU
  ☆12Updated 8 months ago
• 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
  ☆33Updated 5 years ago
• liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
  ☆237Updated 2 years ago
• aresmiki / A-case-of-the-intelligent-bearing-fault-diagnosis
  This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…
  ☆53Updated 4 years ago
• cathysiyu / Mechanical-datasets
  ☆288Updated 7 years ago
• laowu-code / iTansformer_LSTM_CA_KAN
  This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Tempora…
  ☆89Updated 5 months ago
• Lucky-Loek / ieee-phm-2012-data-challenge-dataset
  Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
  ☆151Updated 5 years ago
• MaoFuyou / woa-vmd-ssa-lstm
  ☆57Updated 7 months ago
• Tuniverj / Pytorch-lstm-forecast
  基于pytorch搭建多特征LSTM时间序列预测
  ☆175Updated 3 years ago
• ki-ljl / LSTM-Load-Forecasting
  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…
  ☆266Updated 3 years ago
• mubarak-exe / Fake_News_Detection_Using_Hybrid_BiLSTM_TCN_Model_With_Attention_Mechanism
  ☆10Updated 5 months ago
• jiaxiang-cheng / PyTorch-LSTM-for-RUL-Prediction
  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…
  ☆167Updated 4 years ago
• 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
  ☆367Updated 3 years ago
• hustcxl / Deep-learning-in-PHM
  Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction
  ☆466Updated 4 years ago
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆92Updated 5 years ago