Alternatives and similar repositories for OWR

Users that are interested in OWR are comparing it to the libraries listed below

• ljain2 / libsvm-openset
  ☆51Updated 11 years ago
• EMRResearch / ExtremeValueMachine
  This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.
  ☆54Updated 7 years ago
• Heliot7 / open-set-da
  Open set domain adaptation
  ☆87Updated 6 years ago
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆117Updated 5 years ago
• hellowangqian / domain-adaptation-capls
  Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
  ☆62Updated 3 years ago
• wuyuebupt / LargeScaleIncrementalLearning
  ☆73Updated 5 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆71Updated 4 years ago
• MrtnMndt / OpenVAE_ContinualLearning
  Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
  ☆65Updated 3 years ago
• Vastlab / libMR
  Library for Meta-Recognition and Weibull based calibration of SVM data.
  ☆84Updated 3 years ago
• YU1ut / openset-DA
  Code for 'Open Set Domain Adaptation by Backpropagation'
  ☆76Updated 7 years ago
• chenchao666 / HoMM-Master
  Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)
  ☆44Updated 6 years ago
• lwneal / counterfactual-open-set
  Counterfactual Image Generation
  ☆84Updated 6 years ago
• MrtnMndt / Deep_Openset_Recognition_through_Uncertainty
  PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…
  ☆92Updated 3 years ago
• dingmyu / DAPN
  A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
  ☆148Updated 5 years ago
• hellojing89 / weightedGANpartialDA
  ☆16Updated 7 years ago
• Gorilla-Lab-SCUT / DADA-AAAI2020
  Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).
  ☆119Updated 5 years ago
• PatrickZH / End-to-End-Incremental-Learning
  Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
  ☆63Updated 6 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆65Updated 7 years ago
• aadeshnpn / OSDN
  Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
  ☆84Updated 2 years ago
• thuml / PADA
  Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
  ☆102Updated 7 years ago
• thuml / MDD
  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
  ☆140Updated 6 years ago
• ylsung / gnn_few_shot_cifar100
  This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
  ☆88Updated 7 years ago
• lijin118 / 3CATN
  Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019
  ☆33Updated 6 years ago
• kjaved0 / incremental-learning
  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
  ☆109Updated last year
• samotiian / CCSA
  "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
  ☆105Updated 5 years ago
• Xiewp / PFAN
  Code for CVPR-2019 paper "Progressive Feature Alignment for Unsupervised Domain Adaptation"
  ☆33Updated 6 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆65Updated 4 years ago
• thuml / MADA
  Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
  ☆61Updated 7 years ago
• nghia9691 / OSDN
  Try Openmax with MNIST Fashion dataset
  ☆11Updated 7 years ago
• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆169Updated 3 years ago