Alternatives and similar repositories for swa:

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

• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,178Updated 3 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆988Updated 3 weeks ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• Yonghongwei / Gradient-Centralization
  A New Optimization Technique for Deep Neural Networks
  ☆535Updated 3 years ago
• joe-siyuan-qiao / WeightStandardization
  Standardizing weights to accelerate micro-batch training
  ☆547Updated 3 years ago
• hongyi-zhang / mixup
  Implementation of the mixup training method
  ☆466Updated 6 years ago
• arcelien / pba
  Efficient Learning of Augmentation Policy Schedules
  ☆506Updated 5 years ago
• uoguelph-mlrg / Cutout
  2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
  ☆550Updated 5 years ago
• kakaobrain / fast-autoaugment
  Official Implementation of 'Fast AutoAugment' in PyTorch.
  ☆1,599Updated 3 years ago
• google-research / mixmatch
  ☆1,139Updated 2 years ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆561Updated 4 years ago
• mgrankin / over9000
  Over9000 optimizer
  ☆426Updated 2 years ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆335Updated 5 years ago
• zsef123 / EfficientNets-PyTorch
  A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
  ☆312Updated 5 years ago
• miguelvr / dropblock
  Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
  ☆594Updated 4 years ago
• ildoonet / pytorch-gradual-warmup-lr
  Gradually-Warmup Learning Rate Scheduler for PyTorch
  ☆989Updated 7 months ago
• vandit15 / Class-balanced-loss-pytorch
  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
  ☆797Updated last year
• bmsookim / wide-resnet.pytorch
  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
  ☆469Updated 5 years ago
• uoguelph-mlrg / confidence_estimation
  Learning Confidence for Out-of-Distribution Detection in Neural Networks
  ☆274Updated 7 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆491Updated last year
• achaiah / pywick
  High-level batteries-included neural network training library for Pytorch
  ☆401Updated 3 years ago
• MisaOgura / flashtorch
  Visualization toolkit for neural networks in PyTorch! Demo -->
  ☆741Updated last year
• DeepVoltaire / AutoAugment
  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
  ☆1,479Updated last year
• richardaecn / class-balanced-loss
  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
  ☆609Updated 3 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆586Updated 3 years ago
• PistonY / torch-toolbox
  🛠 Toolbox to extend PyTorch functionalities
  ☆420Updated 11 months ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 4 years ago
• brain-research / realistic-ssl-evaluation
  Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆460Updated 5 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆338Updated 4 years ago
• zhmiao / OpenLongTailRecognition-OLTR
  Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
  ☆861Updated 2 years ago