LijinxiangBb

LijinxiangBb's Stars

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1313651.5k

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9474875

• kumar-shridhar/PyTorch-BayesianCNN

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

  Language:Python1.4k3164325

• hildensia/bayesian_changepoint_detection

  Methods to get the probability of a changepoint in a time series.

  Language:Jupyter Notebook6793129213

• 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

  Language:Jupyter Notebook2945645

• ZhangWei1993/Mechanical-Fault-Diagnosis-Based-on-Deep-Learning

  CNN for mechanical fault diagnosis

  Language:Python28412685

• Xiaohan-Chen/bear_fault_diagnosis

  Bearing fault diagnosis model based on MCNN-LSTM

  Language:Jupyter Notebook2443943

• haohy/TCAN

  A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".

  Language:Python1372335

• wangfin/1DCNN_Fault_Detection

  1DCNN Fault Detection（1DCNN的轴承故障诊断）

  Language:Python1314331

• weirme/FCSN

  A PyTorch reimplementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"

  Language:Python11553633

• ZhaoZhibin/Basic-Rotating-Machine-Vibration-Analysis

  These codes realize data transformation and simple data processing for fault diagnosis.

  Language:MATLAB794025

• meitetsu3/1DCNN

  Explanation of 1D CNN

  Language:Jupyter Notebook562212

• al3xsh/rolling-element-bearing-fault-detection

  Code to go with the paper "A novel deep learning model for the detection and identification of rolling element bearing faults"

  Language:Python491712

• ZhaoZhibin/Weighted_Multi-Scale_Dictionary_Learning

  Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"

  Language:MATLAB41208

• laiadc/PFM_Bearing_Fault_Detection

  Language:Jupyter Notebook14128

• HydraHuYu/MyProgrom

  bearing fault diagnosis

  Language:Python9121

• LAZYzhaoyang/LiftingXGBoost-for-Bearing-Faults-Classification

  Code of paper: 'A novel bearing fault classification method based on XGBoost: the fusion of deep learning based features and empirical features'.

  Language:Python7310

• yulinzhang96/PSOBasedBayesianNetworkLearning

  This project is served as my undergraduate dissertation.

  Language:C++3200

• weihongwei3/NLP

  Language:Python1001