Alternatives and similar repositories for swa-tutorials-pytorch:

Users that are interested in swa-tutorials-pytorch are comparing it to the libraries listed below

• dwang181 / active-mixup
  Code for Active Mixup in 2020 CVPR
  ☆22Updated 3 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• gifford-lab / overinterpretation
  Code for Overinterpretation paper
  ☆19Updated last year
• chenpf1025 / RobustnessAccuracy
  AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
  ☆23Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆34Updated 4 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 4 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆34Updated last year
• DaikiTanak / manifold_mixup
  pytorch implementation of manifold-mixup
  ☆22Updated 2 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆74Updated 4 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated 2 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆39Updated 4 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 4 years ago
• arghosh / noisy_label_pretrain
  ☆32Updated 3 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• seominseok0429 / Learning-Loss-for-Active-Learning-Pytorch
  Learning Loss for Active Learning Pytorch Implementation,(reproduction)
  ☆32Updated 5 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• zsef123 / Large_Margin_Loss_PyTorch
  A PyTorch Implementation of a Large Margin Deep Networks for Classification
  ☆23Updated 5 years ago
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• vrvlive / knowlege-distillation
  PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems
  ☆32Updated 8 months ago
• RaptorMai / CVPR20_CLVision_challenge
  1'st Place approach for CVPR 2020 Continual Learning Challenge
  ☆46Updated 4 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• kekmodel / UDA-pytorch
  An unofficial PyTorch implementation of Unsupervised Data Augmentation
  ☆15Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• pomonam / Self-Tuning-Networks
  PyTorch implementation of "STNs" and "Delta-STNs".
  ☆50Updated 4 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago