Alternatives and similar repositories for few-shot-mamba

Users that are interested in few-shot-mamba are comparing it to the libraries listed below

• giabao804 / few-shot-structural-rep
  This is our implemented source code for the paper "A Bearing Fault Diagnosis Framework Based on Few-Shot Learning with Distribution Consi…
  ☆10Updated 5 months ago
• linhthan216 / MixMamba-Fewshot
  This is our implemented source code for the paper "Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for be…
  ☆23Updated 3 months ago
• HungVu307 / A-New-ConvMixer-based-Approach-for-Diagnosis-of-Fault-Bearing-using-Signal-Spectrum
  Siamese-based ConviMixer combined with few-shot learning for classification under limited data
  ☆27Updated last year
• HungVu307 / Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance
  [IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Dist…
  ☆107Updated 5 months ago
• OneBugMaker / AET
  Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
  ☆25Updated last year
• Bingbingboopoo / bearing-fault-diagnosis
  This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…
  ☆14Updated 3 months ago
• 519473104 / IFMAML
  An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
  ☆14Updated 10 months ago
• Polimi-YuYue / MSI2DA-Net
  Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis
  ☆43Updated 4 months ago
• zhiqan / MIXCNN
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆42Updated last year
• zhiqan / OC-Supcon
  A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
  ☆10Updated 5 months ago
• liguge / Maximum-mean-square-discrepancy
  Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
  ☆29Updated last year
• liguge / MIXCNN_pytorch
  A fault diagnosis method for rotating machinery based on CNN with mixed information
  ☆29Updated last year
• zhangyu2234 / Rolling-bearing-fault-diagnosis
  Leveraging multiple deep learning models for fault diagnosis
  ☆29Updated 2 months ago
• zhiqan / Random-convolution-layer
  Random convolution layer: An auxiliary method to improve fault diagnosis performance
  ☆30Updated 10 months ago
• liguge / GTFENet_pytorch
  GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
  ☆35Updated 2 years ago
• liguge / Variance-discrepancy-representation-pytorch
  Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis
  ☆21Updated last year
• zhiqan / AMPCNN
  A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism
  ☆34Updated 2 years ago
• khalidalrifai / HMSCNN
  Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery
  ☆8Updated last year
• Polimi-YuYue / MLFNet
  MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets
  ☆18Updated last year
• liguge / MDPS_pytorch
  A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
  ☆39Updated 2 years ago
• wongsihan / FDR
  Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"
  ☆14Updated last year
• HymHust / fault_diagnosis_hym
  Code sharing of fault diagnosis papers.
  ☆51Updated last year
• Polimi-YuYue / MSIFT
  MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion
  ☆58Updated 4 months ago
• alidi24 / bearing-rul-prediction
  Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…
  ☆14Updated 3 months ago
• liguge / xLSTM-for-intelligent-fault-diagnosis-of-rolling-bearings
  xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings
  ☆30Updated last year
• fyancy / RaVEL
  Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis
  ☆29Updated 4 months ago
• xiaoyiming1999 / DG-for-RMFD
  Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…
  ☆32Updated 5 months ago
• shane995 / MTAGN
  The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…
  ☆23Updated last year
• mubai011 / MQCCAF
  Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing
  ☆40Updated last year
• asdvfghg / ClassBD
  ☆45Updated 2 months ago