Alternatives and similar repositories for Deep-Transfer-Learning

Users that are interested in Deep-Transfer-Learning are comparing it to the libraries listed below

• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 6 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆59Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 7 years ago
• wzell / cmd
  Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
  ☆68Updated last year
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆63Updated 5 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆104Updated 5 years ago
• wOOL / Learning_to_Compare
  Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"
  ☆29Updated 7 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆141Updated 7 years ago
• HCPLab-SYSU / MSDA
  ☆29Updated 7 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• RockySJ / WDGRL
  ☆127Updated 7 years ago
• thuml / Transferable-Adversarial-Training
  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)
  ☆81Updated 6 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆55Updated 5 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 7 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 5 years ago
• pujols / zero-shot-learning
  ☆65Updated 6 years ago
• akku1506 / Feature-Generating-Networks-for-ZSL
  This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).
  ☆47Updated 6 years ago
• hemanthdv / da-hash
  MatConvNet: CNNs for MATLAB
  ☆51Updated 7 years ago
• vtddggg / ATDA
  Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆40Updated 8 years ago
• A-bone1 / JDDA
  Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)
  ☆42Updated 6 years ago
• dbrojas / domain_adapt
  Domain adaptation networks for digit recognitioning
  ☆14Updated 7 years ago
• sharonFogel / CPAC
  Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"
  ☆27Updated 7 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆30Updated 7 years ago
• johnwlambert / dlupi-heteroscedastic-dropout
  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)
  ☆38Updated 4 years ago
• ricvolpi / adversarial-feature-augmentation
  Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
  ☆130Updated 6 years ago