HazeDT / pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
☆15Updated 5 years ago
Alternatives and similar repositories for pytorch-handbook:
Users that are interested in pytorch-handbook are comparing it to the libraries listed below
- code for DFAWnet☆31Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆54Updated 3 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆34Updated 2 months ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆20Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 8 months ago
- ☆20Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆32Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- ☆18Updated 2 years ago
- ☆14Updated 3 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆33Updated last year
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆19Updated last year
- Capsule network for fault diagnosis (胶囊网络用于故障诊断)☆30Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year
- ☆22Updated last year
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆16Updated 4 years ago
- ☆31Updated 2 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆68Updated last year
- WT-planetary-gearbox-datasets☆56Updated 8 months ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆50Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆16Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆20Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆54Updated 2 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆15Updated 2 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆38Updated 2 years ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆29Updated last month
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆22Updated last year