Alternatives and similar repositories for torch_meta_sgd:

Users that are interested in torch_meta_sgd are comparing it to the libraries listed below

• Runist / torch_maml
  Very simple pytorch maml implement
  ☆121Updated last year
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆146Updated last month
• JosephKJ / PyTorch-MAML-and-Reptile
  MAML and Reptile sine wave regression example in PyTorch
  ☆18Updated 5 years ago
• TianyuanYang / MAML-for-Mechanical-Fault-Diagnosis
  Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)
  ☆31Updated last year
• wesley1001 / MACNN
  Multi-scale Attention Convolutional Neural Network for Time Series Classification
  ☆21Updated 5 years ago
• miguealanmath / MAML-Pytorch
  Reproduce MAML in Pytorch with omniglot dataset.
  ☆102Updated 4 years ago
• LiangjunFeng / Industrial_ZSL
  Source Code of Industrial_ZSL in TII
  ☆31Updated 3 years ago
• zhangyuxin621 / AMSL
  Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source
  ☆51Updated 3 years ago
• ryanlaics / MWGCN
  Source code of the paper Multiscale Wavelet-Driven Graph Convolutional Network for Blade Icing Detection of Wind Turbines
  ☆9Updated 2 years ago
• fyancy / SSMN
  The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.
  ☆56Updated 3 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆120Updated 4 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• wangfin / SSLDPCA-IL-FaultDetection
  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）
  ☆77Updated 2 years ago
• georgezefko / Anomaly-Detection-for-Sequential-Data
  Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data
  ☆23Updated 3 years ago
• chenfei0328 / mWDN-RCF
  Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
  ☆32Updated 5 years ago
• 123EastGod / HNU-IDG-FD-Code
  The intelligent fault diagnosis methods of HNU IDG
  ☆67Updated 2 years ago
• xuanliu2000 / VGCDM
  ☆19Updated 3 months 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
  ☆39Updated 2 years ago
• mingzhangPHD / Supplementary-Dataset
  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
• QinYi-team / MMSD
  ☆16Updated last year
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆68Updated 3 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆30Updated 3 years ago
• roytalman / LSTM-FCN-Pytorch
  Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"
  ☆28Updated 4 years ago
• zachysun / MACNN-Pytorch
  Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…
  ☆16Updated 2 years ago
• yanshen0210 / FGDAE-a-machinery-fault-detection-method
  一种用于复杂工况机械故障检测的GNN方法
  ☆44Updated last year
• asdvfghg / QCNN_for_bearing_diagnosis
  ☆87Updated 6 months ago
• ShaneSpace / DGFDBenchmark
  This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis
  ☆73Updated last year
• YuhaoWong0103 / fsl_ts
  few shot learning (MAML) for time series prediction
  ☆12Updated 3 years ago
• JJASMINE22 / MAML_LSTM
  Regularized MAML for time-series data prediction
  ☆17Updated 2 years ago
• mohamedr002 / SLARDA
  ☆37Updated last year