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 4 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆483Updated 2 weeks ago
• SY-Ma / Gated-Transformer-on-MTS
  使用改良的Transformer模型应用于多维时间序列的分类任务上
  ☆11Updated 4 years ago
• beifengchuizoudemeng / CWRU
  ☆105Updated 6 years ago
• BeechburgPieStar / FS-SEI
  A few-shot learning method for specific emitter identification or radio frequency fingerprintinig
  ☆53Updated 9 months ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆129Updated 5 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆167Updated 7 months ago
• liguge / 1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
  ☆109Updated 2 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• renlikun1988 / 1D-CNN-for-CWRU
  1D CNN for CWRU rolling bearings dataset
  ☆41Updated 7 years ago
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆156Updated 6 years ago
• Ryan906k9 / DSAN
  A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'
  ☆18Updated 3 years ago
• vvanggeng / TSC-CNN
  基于一维卷积神经网络（1D-CNN）的多元时间序列分类
  ☆78Updated 5 years ago
• chamwen / DaNN_DJP
  Domain Adaptive Neural Networks with DJP-MMD
  ☆19Updated 3 years ago
• liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
  ☆232Updated 2 years ago
• wangwei39120157028 / Signal_Feature_Extraction
  Hilbert变换提取信号特征的Python实现A Python Implementation of Hilbert Transform to Extract Signal Features
  ☆31Updated 4 years ago
• HazeDT / WaveletKernelNet
  This is the code for WaveletKernelNet.
  ☆130Updated 11 months ago
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆309Updated 2 years ago
• silence-club / DRSN-1D
  深度残差收缩网络处理一维时域信号
  ☆37Updated 2 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 5 years ago
• Tongji-Intelligent-Manufacturing-221 / Bearing-Fault-Diagnosis
  ☆26Updated 3 years ago
• Isilendil / OSTL
  Online Semi-supervised Learning + Online Heterogeneous Transfer Learning
  ☆29Updated 10 years ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆22Updated 3 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…
  ☆36Updated 3 years ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆227Updated 3 years ago
• v3551G / Imaging_sequence_data
  ☆23Updated 4 years ago
• e62505 / Fault_diognosis_dataset
  ☆86Updated 3 years ago
• guoXuehong77 / transferlearning
  Everything about Transfer Learning and Domain Adaptation--迁移学习
  ☆16Updated 4 years ago
• mnikitin / channel-attention
  Gluon implementation of channel-attention modules: SE, ECA, GCT
  ☆42Updated 4 years ago
• YihongDong / SR2CNN-Zero-Shot-Learning-for-Signal-Recognition
  ☆29Updated 3 years ago