Alternatives and similar repositories for adversarial-feature-augmentation

Users that are interested in adversarial-feature-augmentation are comparing it to the libraries listed below

• thuml / PADA

  View on GitHub
  Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
  ☆102Oct 29, 2018Updated 7 years ago
• corenel / pytorch-arda

  View on GitHub
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Aug 29, 2017Updated 8 years ago
• IssamLaradji / M-ADDA

  View on GitHub
  Domain Adaptation Based on the Triplet Loss
  ☆113Jun 11, 2019Updated 6 years ago
• RobRomijnders / dan

  View on GitHub
  Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
  ☆11Dec 8, 2022Updated 3 years ago
• YBZh / CDAN-re-implement

  View on GitHub
  The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation
  ☆22Oct 25, 2018Updated 7 years ago
• haeusser / learning_by_association

  View on GitHub
  This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…
  ☆151Oct 28, 2017Updated 8 years ago
• Britefury / self-ensemble-visual-domain-adapt-photo

  View on GitHub
  Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'
  ☆74Jan 22, 2022Updated 4 years ago
• jihanyang / AFN

  View on GitHub
  (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
  ☆187Oct 24, 2019Updated 6 years ago
• yogeshbalaji / Generate_To_Adapt

  View on GitHub
  Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
  ☆143Jul 5, 2019Updated 6 years ago
• thuml / MADA

  View on GitHub
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆61Oct 15, 2018Updated 7 years ago
• omid55 / deep_transfer_learning

  View on GitHub
  Deep Transfer Learning codes using Google TensorFlow
  ☆13Apr 4, 2016Updated 9 years ago
• Mid-Push / Moving-Semantic-Transfer-Network

  View on GitHub
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Jul 14, 2018Updated 7 years ago
• jhoffman / cycada_release

  View on GitHub
  Code to accompany ICML 2018 paper
  ☆566Sep 23, 2021Updated 4 years ago
• engharat / SBADAGAN

  View on GitHub
  ☆15Jun 19, 2018Updated 7 years ago
• corenel / pytorch-atda

  View on GitHub
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆45Sep 5, 2017Updated 8 years ago
• mil-tokyo / MCD_DA

  View on GitHub
  ☆579Oct 7, 2022Updated 3 years ago
• thuml / CDAN

  View on GitHub
  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
  ☆413Aug 25, 2021Updated 4 years ago
• thuml / Xlearn

  View on GitHub
  Transfer Learning Library
  ☆462Apr 9, 2021Updated 4 years ago
• hemanthdv / da-hash

  View on GitHub
  MatConvNet: CNNs for MATLAB
  ☆51Jun 26, 2017Updated 8 years ago
• Britefury / self-ensemble-visual-domain-adapt

  View on GitHub
  Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'
  ☆194Aug 26, 2019Updated 6 years ago
• EasonApolo / mstn

  View on GitHub
  PyTorch reimplementation of Moving Semantic Transfer Network
  ☆37Feb 15, 2019Updated 6 years ago
• corenel / pytorch-adda

  View on GitHub
  A PyTorch implementation for Adversarial Discriminative Domain Adaptation
  ☆493Apr 12, 2022Updated 3 years ago
• fmcarlucci / ADAGE

  View on GitHub
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Jul 10, 2019Updated 6 years ago
• ZwX1616 / mxnet-CoordConv

  View on GitHub
  MXNET symbolic implementation of coordinate convolution
  ☆11Jul 20, 2018Updated 7 years ago
• Coolnesss / fada-pytorch

  View on GitHub
  PyTorch implementation of https://arxiv.org/abs/1711.02536
  ☆12Jan 11, 2018Updated 8 years ago
• YuqiCui / MMD_AAE

  View on GitHub
  Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.
  ☆57Dec 24, 2019Updated 6 years ago
• HCPLab-SYSU / MSDA

  View on GitHub
  ☆29May 2, 2018Updated 7 years ago
• qiuzhen8484 / COVID-DA

  View on GitHub
  The dataset used in COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
  ☆12Nov 22, 2022Updated 3 years ago
• barebell / DA

  View on GitHub
  Unsupervised Domain Adaptation Papers and Code
  ☆766Sep 18, 2021Updated 4 years ago
• erictzeng / adda

  View on GitHub
  ☆222Feb 28, 2019Updated 6 years ago
• ChrisAllenMing / Mixup_for_UDA

  View on GitHub
  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
  ☆164Jun 9, 2020Updated 5 years ago
• hellojing89 / weightedGANpartialDA

  View on GitHub
  ☆16Jun 30, 2018Updated 7 years ago
• XingangPan / IBN-Net

  View on GitHub
  Instance-Batch Normalization Networks (ECCV2018)
  ☆808Jul 4, 2023Updated 2 years ago
• VisionLearningGroup / taskcv-2017-public

  View on GitHub
  ☆172Nov 21, 2022Updated 3 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation

  View on GitHub
  Wasserstein Based Domain Adaptation Model
  ☆46Jan 2, 2019Updated 7 years ago
• roysubhankar / dwt-domain-adaptation

  View on GitHub
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆65Mar 11, 2021Updated 4 years ago
• ricvolpi / generalize-unseen-domains

  View on GitHub
  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018
  ☆121Apr 24, 2020Updated 5 years ago
• luohongyin / bdfa-torch

  View on GitHub
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆11Mar 20, 2017Updated 8 years ago
• xjtushujun / Meta-weight-net_class-imbalance

  View on GitHub
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Sep 15, 2019Updated 6 years ago