Alternatives and similar repositories for Few-shot-Transfer-Learning:

Users that are interested in Few-shot-Transfer-Learning are comparing it to the libraries listed below

• mingzhangPHD / Few-shot-Learning-for-Fault-Diagnosis
  This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
  ☆88Updated 2 years ago
• Xiaohan-Chen / few-shot-fault-diagnosis
  A few shot learning repository for bearing fault diagnosis.
  ☆82Updated last year
• zhangjunzhao-00 / DANN-Bearing-fault-diagnosis
  Transfer learning
  ☆50Updated 3 years ago
• MASTER111363 / Cross-domain-bearing-fault-diagnosis-on-CWRU-dataset
  ☆45Updated 2 years ago
• Stern1996 / Bearing-Fault-Diagnosis
  ☆94Updated 2 years ago
• zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
  Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …
  ☆115Updated last month
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆44Updated 3 years ago
• monologuesmw / bearing-fault-diagnosis-cnn
  Siamese network for bearing fault diagnosis
  ☆86Updated 5 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆147Updated last month
• liguge / DLWCB
  基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)
  ☆53Updated last year
• HazeDT / DAGCN
  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…
  ☆154Updated 3 years ago
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆50Updated 3 years ago
• Yifei20 / Few-shot-Fault-Diagnosis-MAML
  Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…
  ☆62Updated 2 months ago
• e62505 / Fault_diognosis_dataset
  ☆80Updated 2 years ago
• liguge / Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis
  Deep discriminative transfer learning network for cross-machine fault diagnosis
  ☆97Updated 4 months ago
• ShaneSpace / MyResearchWorksPublic
  ☆54Updated last year
• ziapple / fd-dann
  基于迁移学习DANN模型，对不同工况轴承进行故障诊断
  ☆41Updated 3 years ago
• phoenixdyf / Theory-guided-Progressive-Transfer-Learning-Network
  Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
  ☆40Updated 2 years ago
• ArthurWish / DCTLN-
  ☆44Updated 4 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆57Updated 3 years ago
• anshulkulhari7 / Bearing-Fault-Diagnosis-using-Transfer-Learning
  ☆24Updated 3 years ago
• bighan123 / HNUIDG-Fault-Diagnosis-
  The intelligent fault diagnosis of HNU IDG
  ☆92Updated 2 years ago
• ShaneSpace / DGFDBenchmark
  This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis
  ☆74Updated last year
• beifengchuizoudemeng / CWRU
  ☆101Updated 5 years ago
• hectorLop / Conditional-Adversarial-Domain-Generalization-with-Single-Discriminator
  Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…
  ☆34Updated 3 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆39Updated 3 years ago
• CHAOZHAO-1 / Domain-generalization-fault-diagnosis-benchmark
  This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）
  ☆85Updated 4 months ago
• Fabian0597 / MMD_PHMS
  Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning
  ☆37Updated 2 years ago
• 123EastGod / HNU-IDG-FD-Code
  The intelligent fault diagnosis methods of HNU IDG
  ☆68Updated 2 years ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆81Updated 3 years ago