Alternatives and similar repositories for Pytorch-Stochastic-Depth-Resnet:

Users that are interested in Pytorch-Stochastic-Depth-Resnet are comparing it to the libraries listed below

• seominseok0429 / label-smoothing-visualization-pytorch
  When Does Label Smoothing Help?_pytorch_implementationimp
  ☆126Updated 5 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆121Updated 2 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆104Updated 3 years ago
• 4uiiurz1 / pytorch-auto-augment
  PyTorch implementation of AutoAugment.
  ☆158Updated 4 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆93Updated 4 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆125Updated 5 years ago
• yikun2019 / PENCIL
  PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
  ☆139Updated 5 years ago
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆146Updated 4 years ago
• leaderj1001 / SimSiam
  Exploring Simple Siamese Representation Learning
  ☆60Updated 4 years ago
• asappresearch / aum
  ☆80Updated last year
• srebuffi / residual_adapters
  ☆170Updated 4 years ago
• VDIGPKU / DADA
  [ECCV 2020] DADA: Differentiable Automatic Data Augmentation
  ☆190Updated last year
• xuguodong03 / SSKD
  [ECCV2020] Knowledge Distillation Meets Self-Supervision
  ☆236Updated 2 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆150Updated 2 years ago
• HanxunH / Active-Passive-Losses
  [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
  ☆135Updated 6 months ago
• HanxunH / SCELoss-Reproduce
  Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
  ☆185Updated 4 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆142Updated 3 years ago
• jizongFox / pytorch-randaugment
  Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.
  ☆35Updated 2 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆104Updated 4 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆123Updated 4 years ago
• google-research / remixmatch
  ☆131Updated 2 years ago
• YisenWang / symmetric_cross_entropy_for_noisy_labels
  Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
  ☆171Updated 3 years ago
• owruby / shake-drop_pytorch
  PyTorch implementation of shake-drop regularization
  ☆54Updated 4 years ago
• alinlab / cs-kd
  Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
  ☆107Updated 4 years ago
• jeromerony / dml_cross_entropy
  Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
  ☆168Updated 2 years ago
• idstcv / SoftTriple
  PyTorch Implementation for SoftTriple Loss
  ☆203Updated 5 months ago
• JasonZhang156 / awesome-mixed-sample-data-augmentation
  A collection of awesome things about mixed sample data augmentation
  ☆131Updated 4 years ago
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆95Updated 2 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• bl0 / moco
  Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learni…
  ☆148Updated 4 years ago