Runist / torch_meta_sgd
☆13Updated 2 years ago
Alternatives and similar repositories for torch_meta_sgd:
Users that are interested in torch_meta_sgd are comparing it to the libraries listed below
- Very simple pytorch maml implement☆118Updated last year
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆140Updated 8 months ago
- Regularized MAML for time-series data prediction☆17Updated 2 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆102Updated 4 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆29Updated last year
- Source Code of Industrial_ZSL in TII☆28Updated 3 years ago
- few shot learning (MAML) for time series prediction☆12Updated 3 years ago
- here is the introduce of bls☆68Updated 3 years ago
- Autoencoders in PyTorch☆99Updated 5 years 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
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 years ago
- Multiclass classification of vibration signals of faulty bearings☆84Updated 5 years ago
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆7Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆37Updated 2 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆12Updated last year
- ☆75Updated 2 years ago
- Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify m…☆9Updated 3 years ago
- in Python☆17Updated last month
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆68Updated last year
- ☆51Updated 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
- 实现的是WDCNN的pytorch版本代码,对应论文的第三章 data包含了四个数据文件夹,这里只使用了0HP文件夹中的数据,里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码,虽然划分出来了验证集但是并没有使用 trai…☆23Updated 2 years ago
- This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.☆18Updated 3 years ago
- Source codes for the paper "Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Mod…☆34Updated last month
- ☆82Updated 4 months ago
- ☆10Updated 11 months ago
- This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…☆69Updated 9 months ago
- This is a Python package for Broad Learning System.☆18Updated 4 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆142Updated 3 years ago
- Time series missing data imputation with Temporal Convolutional Denoising Autoencoder☆18Updated 5 months ago