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
  ☆129Updated last year
• JJASMINE22 / MAML_LSTM
  Regularized MAML for time-series data prediction
  ☆17Updated 3 years ago
• miguealanmath / MAML-Pytorch
  Reproduce MAML in Pytorch with omniglot dataset.
  ☆106Updated 5 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆173Updated 10 months ago
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆313Updated 2 years ago
• YuhaoWong0103 / fsl_ts
  few shot learning (MAML) for time series prediction
  ☆12Updated 4 years ago
• guoXuehong77 / transferlearning
  Everything about Transfer Learning and Domain Adaptation--迁移学习
  ☆16Updated 5 years ago
• JnchinZ / Prototypical-Networks-for-image-classification
  This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.
  ☆20Updated 4 years ago
• MPX0222 / BLS-APIs
  A Modified Toolbox for Broad Learning System, with sklearn liked APIs and Codes. Now BLS, Stacked-BLS, BLS-AE are Released.
  ☆33Updated last year
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆126Updated 3 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆73Updated 4 years ago
• ZhenanHe / Open-Set-Signal-Classification-OSSC
  ☆11Updated 3 years ago
• TianyuanYang / MAML-for-Mechanical-Fault-Diagnosis
  Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)
  ☆34Updated 2 years ago
• Darth-Kronos / Unsupervised-Domain-Adaptation
  Empirical evaluation and analysis of state-of-the-art methods for unsupervised domain adaptation on OFFICE-31 dataset, a benchmark datase…
  ☆14Updated 2 years ago
• sam-nayak / SynthNet
  Fuzzy Deep Neural Network.
  ☆62Updated 2 years ago
• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆12Updated 4 years ago
• 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
  ☆65Updated 4 years ago
• Cui-F / GA_LSTM
  ☆15Updated 5 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆135Updated 7 years ago
• LiangjunFeng / Industrial_ZSL
  Source Code of Industrial_ZSL in TII
  ☆35Updated 4 years ago
• XiongMeijing / CWRU-1
  Multiclass classification of vibration signals of faulty bearings
  ☆101Updated 6 years ago
• mdzalfirdausi / CNN-for-Paderborn-Bearing-Dataset
  in Python
  ☆18Updated last year
• Daipuwei / DANN-MNIST-tf2
  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 4 years ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• zqiao11 / TSCIL
  [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
  ☆64Updated last year
• PHM-Code / MWA-CNN
  The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis
  ☆51Updated 3 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆135Updated 5 years ago
• liguge / 1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
  ☆114Updated 2 years ago