Alternatives and similar repositories for DANN-MNIST-tf2

Users that are interested in DANN-MNIST-tf2 are comparing it to the libraries listed below

• Daipuwei / DANN-MNIST
  这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x
  ☆64Updated 3 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆120Updated 4 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• chamwen / DaNN_DJP
  Domain Adaptive Neural Networks with DJP-MMD
  ☆19Updated 3 years ago
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆33Updated 5 years ago
• cookieli / Bearing_detect
  利用深度学习自编码器进行故障诊断的程序
  ☆10Updated 6 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 4 years ago
• Lvhaixin / SQdataset
  SQ dataset for fault diagnosis pulished by Xi'an jiaotong University
  ☆15Updated 2 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆46Updated 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
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆24Updated 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
• 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
• 123EastGod / Novel-joint-transfer-network
  ☆22Updated 2 years ago
• Fabian0597 / MMD_PHMS
  Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning
  ☆38Updated 2 years ago
• wangfin / SSLDPCA-IL-FaultDetection
  Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）
  ☆81Updated 2 years ago
• mohamedr002 / CADA
  This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.
  ☆48Updated 3 years ago
• matheuscnali / rulbearingpredictor
  ☆10Updated 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
• RyanWangCode / PHM
  Industrial intelligence
  ☆9Updated 7 years ago
• Scallopwang / Rotating-machinery-fault-diagnosis-dataset
  It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…
  ☆21Updated 5 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆39Updated 3 years ago
• opprud / bearing_dataset
  ☆22Updated last year
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 4 years ago
• mingzhangPHD / Supplementary-Dataset
  This is the original dataset that we use in our research work, but it may difficult to find in the original link.
  ☆25Updated 3 years ago
• Ryan906k9 / DSAN
  A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'
  ☆18Updated 3 years ago
• susu-cm / bearings-dataset
  Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms
  ☆16Updated 5 months ago
• fyancy / DASMN
  The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.
  ☆15Updated 3 years ago
• Zichen-Yan / Fault-diagnosis
  Fault Diagnosis on Bearing Dataset
  ☆32Updated 5 years ago
• pfb2008999 / deep-learning-fault-diagnosis
  ☆9Updated 5 years ago