Alternatives and similar repositories for tlbook-code

Users that are interested in tlbook-code are comparing it to the libraries listed below

• 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
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• thuml / A-Roadmap-for-Transfer-Learning
  ☆166Updated 3 years ago
• CtrlZ1 / Domain-Adaptation-Algorithms
  Record my work in transfer learning during my postgraduate period.
  ☆51Updated last year
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆84Updated 4 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆73Updated 4 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆177Updated 11 months ago
• agrija9 / Deep-Unsupervised-Domain-Adaptation
  Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…
  ☆94Updated 4 years ago
• yuntaodu / Transfer-learning-materials
  resource collection for transfer learning!
  ☆249Updated 2 years ago
• easezyc / deep-transfer-learning
  A collection of implementations of deep domain adaptation algorithms
  ☆956Updated 3 years ago
• NaJaeMin92 / pytorch-DANN
  PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)
  ☆146Updated 2 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆127Updated 3 years ago
• streamer-AP / DomainAdaptionPytorch
  Code for recent domain adaption implemented by pytorch.
  ☆34Updated 5 years ago
• guoXuehong77 / transferlearning
  Everything about Transfer Learning and Domain Adaptation--迁移学习
  ☆16Updated 5 years ago
• Runist / torch_maml
  Very simple pytorch maml implement
  ☆129Updated 2 years ago
• ymsun99 / Heterogeneous-Transfer-Learning
  This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).
  ☆31Updated last year
• ZhaoZhibin / UDTL
  Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …
  ☆518Updated 3 years ago
• fungtion / DANN_py3
  python 3 pytorch implementation of DANN
  ☆574Updated 3 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.
  ☆34Updated last year
• songzhuozhu / PyTorch-Course-Note
  ☆67Updated 5 years ago
• beifengchuizoudemeng / CWRU
  ☆120Updated 6 years ago
• CHAOZHAO-1 / DG-PHM
  This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…
  ☆384Updated 7 months ago
• emadeldeen24 / AdaTime
  [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
  ☆224Updated 2 years ago
• antoinedemathelin / wann
  Adversarial Weighting for Domain Adaptation in Regression
  ☆24Updated 3 years ago
• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆96Updated last year
• 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
• 123EastGod / HNU-IDG-FD-Code
  The intelligent fault diagnosis methods of HNU IDG
  ☆73Updated 3 years ago
• e62505 / Fault_diognosis_dataset
  ☆89Updated 3 years ago
• menghonghan / Tansfer-Feature-Learing-with-JDA-implementation-
  The introduction and code implementation of the paper "Transfer Feature Learning with Joint Distribution Adaptation"
  ☆13Updated 5 years ago