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 2 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆119Updated 8 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• GRAAL-Research / domain_adversarial_neural_network
  Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)
  ☆142Updated 7 years ago
• thuml / SAN
  Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)
  ☆69Updated 7 years ago
• Elyorcv / SAE
  Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
  ☆147Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆176Updated 7 years ago
• RockySJ / WDGRL
  ☆126Updated 7 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• wzell / cmd
  Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
  ☆69Updated 2 years ago
• pmorerio / minimal-entropy-correlation-alignment
  Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018
  ☆63Updated 5 years ago
• hemanthdv / da-hash
  MatConvNet: CNNs for MATLAB
  ☆51Updated 8 years ago
• liulu112601 / Prototype-Propagation-Net
  IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
  ☆56Updated 6 years ago
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆105Updated 5 years ago
• hoseong-kim / sae-pytorch
  PyTorch Implementation of SAE from AtoZ
  ☆50Updated 6 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆60Updated 6 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 6 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 4 years ago
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 8 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 8 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 5 years ago
• pujols / Zero-shot-learning-journal
  ☆45Updated 6 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• lzrobots / DeepEmbeddingModel_ZSL
  Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
  ☆187Updated 6 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 7 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆244Updated 6 years ago
• ricvolpi / generalize-unseen-domains
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Updated 5 years ago
• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆134Updated 6 years ago