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
  ☆65Updated 4 years 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
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆135Updated 5 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆176Updated 10 months ago
• YihongDong / SR2CNN-Zero-Shot-Learning-for-Signal-Recognition
  ☆29Updated 4 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆496Updated last week
• beifengchuizoudemeng / CWRU
  ☆118Updated 6 years ago
• tolgaakar / Open-Set-Recognition-for-Time-Series-Classification
  Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation
  ☆11Updated 4 years ago
• ZhenanHe / Open-Set-Signal-Classification-OSSC
  ☆11Updated 3 years ago
• Tongji-Intelligent-Manufacturing-221 / Bearing-Fault-Diagnosis
  ☆26Updated 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
  ☆45Updated 2 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
  ☆246Updated 2 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆27Updated 6 years ago
• silence-club / DRSN-1D
  深度残差收缩网络处理一维时域信号
  ☆36Updated 2 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 5 years ago
• BeechburgPieStar / FS-SEI
  A few-shot learning method for specific emitter identification or radio frequency fingerprintinig
  ☆60Updated last year
• liguge / AMSGradP-for-intelligent-fault-diagnosis
  Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)
  ☆11Updated 3 years ago
• ChenQian0618 / TFN
  this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…
  ☆148Updated 9 months ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆24Updated 3 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• fonderxu / Bearing-fault-diagnosis-datasets
  This repository currently provides common and public avaiable bearing vibration datasets, including downloading, preprocessing and loadin…
  ☆22Updated 2 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…
  ☆40Updated 3 years ago
• monologuesmw / bearing-fault-diagnosis-by-wdcnn
  wdcnn model for bearing fault diagnosis
  ☆34Updated 5 years ago
• e62505 / Fault_diognosis_dataset
  ☆89Updated 3 years ago
• chamwen / DaNN_DJP
  Domain Adaptive Neural Networks with DJP-MMD
  ☆19Updated 4 years ago
• Runist / torch_meta_sgd
  ☆15Updated 3 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆61Updated 4 years ago
• renlikun1988 / 1D-CNN-for-CWRU
  1D CNN for CWRU rolling bearings dataset
  ☆45Updated 7 years ago
• Ryan906k9 / DSAN
  A PaddlePaddle implementation of 'Deep Subdomain Adaptation Network for Image Classification'
  ☆21Updated 4 years ago
• PHM-Code / MWA-CNN
  The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis
  ☆51Updated 3 years ago