Alternatives and similar repositories for Markov-Lipschitz-Deep-Learning

Users that are interested in Markov-Lipschitz-Deep-Learning are comparing it to the libraries listed below

• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 3 years ago
• srebuffi / lsd-clusters
  ☆45Updated 3 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 6 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆33Updated 5 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 4 years ago
• neuroailab / LocalAggregation-Pytorch
  ☆89Updated 5 years ago
• bl0 / PIC
  Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
  ☆52Updated 4 years ago
• HaozhiQi / ISONet
  Deep Isometric Learning for Visual Recognition (ICML 2020)
  ☆143Updated 3 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆89Updated 4 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 6 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆141Updated 4 years ago
• frank-xwang / CLD-UnsupervisedLearning
  [CVPR 2021] Code release for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."
  ☆101Updated 3 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 3 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 6 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 3 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆59Updated 4 years ago
• zhuxinqimac / PS-SC
  Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.
  ☆45Updated 3 years ago
• TsungWeiTsai / MiCE
  Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
  ☆52Updated 4 years ago
• hankook / AugSelf
  ☆46Updated 4 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 3 years ago
• Confusezius / ECCV2020_DiVA_MultiFeature_DML
  (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.1…
  ☆36Updated 4 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 3 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆118Updated 4 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 5 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆62Updated 5 years ago
• Simon4Yan / Meta-set
  Automatic model evaluation (AutoEval) in CVPR'21&TPAMI'22
  ☆37Updated 3 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 6 years ago
• jlezama / OrthogonalLowrankEmbedding
  ☆66Updated 7 years ago