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
☆59Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DANN-MNIST
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现tf2代码，并完成了MNIST与MNIST-M数据集之间的迁移训练☆20Updated 3 years ago
- Domain Adaptive Neural Networks with DJP-MMD☆18Updated 3 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆150Updated 5 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆117Updated 4 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆42Updated 2 years ago
- Source Code of Industrial_ZSL in TII☆28Updated 3 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆29Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆31Updated last year
- ☆42Updated 3 years ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆31Updated last year
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- 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）☆69Updated 2 years ago
- ☆68Updated 2 years ago
- Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Updated 3 years ago
- ☆21Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆31Updated last year
- ☆35Updated 9 months ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆13Updated 3 years ago
- imbalanced fault diagnosis☆14Updated 4 years ago
- An implementation of Deep Adaptation Network with pytorch☆108Updated 6 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆12Updated last year
- ☆25Updated 2 years ago
- ☆48Updated 10 months ago
- Transfer learning☆48Updated 3 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆21Updated last year
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆15Updated last year
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆19Updated 11 months ago
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆24Updated 3 years ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆79Updated 2 years ago