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
• fonderxu / Bearing-fault-diagnosis-datasets
  This repository currently provides common and public avaiable bearing vibration datasets, including downloading, preprocessing and loadin…
  ☆17Updated 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
• chamwen / DaNN_DJP
  Domain Adaptive Neural Networks with DJP-MMD
  ☆19Updated 3 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 4 years ago
• matheuscnali / rulbearingpredictor
  ☆10Updated 4 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
• 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
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆119Updated 4 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• v3551G / Imaging_sequence_data
  ☆23Updated 4 years ago
• xiaoleimiao / UDTL_Lable_Inconsistent
  ☆25Updated 2 years ago
• albertszg / Deformable-multi-attention-convolutional-neural-network
  基于可变形卷积和注意力机制的滚动轴承故障诊断
  ☆44Updated 4 years ago
• Tongji-Intelligent-Manufacturing-221 / Bearing-Fault-Diagnosis
  ☆26Updated 2 years ago
• cht619 / MADA
  Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch
  ☆17Updated 3 years ago
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆32Updated 5 years ago
• ShaneSpace / MyResearchWorksPublic
  ☆54Updated last year
• YihongDong / SR2CNN-Zero-Shot-Learning-for-Signal-Recognition
  ☆27Updated 3 years ago
• mohamedr002 / AMDA
  This is an implementation of single source multiple target domain adaptation for fault diagnosis
  ☆44Updated 3 years ago
• Lvhaixin / SQdataset
  SQ dataset for fault diagnosis pulished by Xi'an jiaotong University
  ☆15Updated 2 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
• WH-Huan / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆16Updated 5 years ago
• liguge / MDPS_pytorch
  A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)
  ☆37Updated 2 years ago
• silence-club / DRSN-1D
  深度残差收缩网络处理一维时域信号
  ☆37Updated last year
• QinYi-team / MMSD
  ☆16Updated last year
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆20Updated 3 years ago
• 123EastGod / Novel-joint-transfer-network
  ☆22Updated 2 years ago
• e62505 / Fault_diognosis_dataset
  ☆83Updated 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
• zhanghuanwang1 / UDTL_multi_domain
  Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))
  ☆52Updated 3 years ago