Alternatives and similar repositories for robustOT

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

• abietti / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆23Updated 6 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 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
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 4 years ago
• chingyaoc / fair-mixup
  ICLR 2021, Fair Mixup: Fairness via Interpolation
  ☆59Updated 4 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆103Updated 2 months ago
• henrikmarklund / arm
  ☆83Updated 2 years ago
• AltschulerWu-Lab / MuLANN
  Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
  ☆38Updated 4 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 4 years ago
• jason718 / semi-sup
  Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20
  ☆25Updated 5 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• srebuffi / lsd-clusters
  ☆45Updated 3 years ago
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 3 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 6 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 4 years ago
• YannDubs / Mini_Decodable_Information_Bottleneck
  Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
  ☆11Updated 5 years ago
• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆44Updated 5 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆42Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• audeg / Sinkhorn-GAN
  Learning generative models with Sinkhorn Loss
  ☆30Updated 7 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆58Updated 7 years ago
• huang50213 / AIM-Fewshot-Continual
  ☆30Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆123Updated 4 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆48Updated 3 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆57Updated 5 years ago
• a7b23 / H-Divergence
  ☆21Updated 3 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆25Updated last year