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
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆101Updated 5 years ago
• lovelymimola / MAT-based-SS-SEI
  ☆35Updated 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
• tolgaakar / Open-Set-Recognition-for-Time-Series-Classification
  Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation
  ☆8Updated 3 years ago
• YihongDong / SR2CNN-Zero-Shot-Learning-for-Signal-Recognition
  ☆29Updated 3 years ago
• BeechburgPieStar / FS-SEI
  A few-shot learning method for specific emitter identification or radio frequency fingerprintinig
  ☆52Updated 7 months ago
• LIUC-000 / SA2SEI
  ☆27Updated last year
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆125Updated 5 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 4 years ago
• Tongji-Intelligent-Manufacturing-221 / Bearing-Fault-Diagnosis
  ☆26Updated 3 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆481Updated 2 weeks ago
• YesDong / signal-recognition
  Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM,…
  ☆48Updated 7 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
• lovelymimola / DCR-Based-SemiSEI
  ☆10Updated 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
  ☆231Updated 2 years ago
• matheuscnali / rulbearingpredictor
  ☆10Updated 4 years ago
• abcxyzi / RadChar
  RadChar is a synthetic radar signal dataset published in the proceedings of the 2023 IEEE International Conference on Acoustics, Speech, …
  ☆40Updated last month
• syorami / DDC-transfer-learning
  A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
  ☆156Updated 6 years ago
• binzh93 / fault_diagnosis_cnn_pytorch
  ☆10Updated 6 years ago
• MarvinMartin24 / MADA-PL
  Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) implementation in Pytorch-Lightning
  ☆18Updated 3 years ago
• musman88 / AMC-IoT
  AMC-IoT: Automatic Modulation Classification Using Efficient Convolutional Neural Networks for Low Power IoT Devices
  ☆14Updated 4 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• BeechburgPieStar / SlimSEI
  ☆17Updated 6 months ago
• JakobKrzyston / High_Capacity_Complex_Networks
  Code for, "HIGH-CAPACITY COMPLEX CONVOLUTIONAL NEURAL NETWORKS FOR I/Q MODULATION CLASSIFICATION".
  ☆10Updated 4 years ago
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆257Updated 2 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆163Updated 5 months ago
• beifengchuizoudemeng / CWRU
  ☆105Updated 5 years ago
• WiSig-dataset / wisig-examples
  Provides examples for using the WiSig dataset
  ☆23Updated 3 years ago
• fungtion / DANN_py3
  python 3 pytorch implementation of DANN
  ☆543Updated 3 years ago