Alternatives and similar repositories for Residual-Flow

Users that are interested in Residual-Flow are comparing it to the libraries listed below

• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 5 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• engkarat / cosine-ood-detector
  Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
  ☆31Updated 2 years ago
• Jingkang50 / ICCV21_SCOOD
  The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
  ☆70Updated 3 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• YU1ut / Ensemble-of-Leave-out-Classifiers
  Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
  ☆27Updated 3 years ago
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆37Updated 2 years ago
• akwasigroch / Pretext-Invariant-Representations
  Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations
  ☆89Updated 5 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 3 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• valeoai / ConfidNet
  Addressing Failure Prediction by Learning Model Confidence
  ☆173Updated 2 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆79Updated 4 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 5 years ago
• thuml / Deep-Embedded-Validation
  Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
  ☆64Updated 6 years ago
• JerryYLi / Dataset-REPAIR
  REPresentAtion bIas Removal (REPAIR) of datasets
  ☆56Updated 2 years ago
• prithv1 / DMG
  Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"
  ☆56Updated 5 years ago
• zaeemzadeh / OOD
  CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces
  ☆22Updated 4 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• hankook / AugSelf
  ☆46Updated 3 years ago
• RAIVNLab / FLUID
  ☆24Updated 3 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆37Updated 4 years ago