Alternatives and similar repositories for onecyclelr:

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

• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆121Updated 3 years ago
• lessw2020 / mish
  Mish Deep Learning Activation Function for PyTorch / FastAI
  ☆161Updated 4 years ago
• izmailovpavel / contrib_swa_examples
  ☆35Updated 5 years ago
• yukkyo / PyTorch-FilterResponseNormalizationLayer
  PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"
  ☆86Updated 5 years ago
• nachiket273 / One_Cycle_Policy
  Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
  ☆74Updated 2 years ago
• PhoenixDL / rising
  Provides everything needed for high performance data loading and augmentation in pytorch.
  ☆319Updated last year
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆111Updated 4 years ago
• mlpanda / bi-tempered-loss-pytorch
  Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
  ☆62Updated 5 years ago
• lessw2020 / Ranger-Mish-ImageWoof-5
  Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs
  ☆116Updated 5 years ago
• IliaLarchenko / albumentations-demo
  The service for the demonstration of transforms in Albumentations library
  ☆106Updated 7 months ago
• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆89Updated 2 years ago
• shelfwise / receptivefield
  Gradient based receptive field estimation for Convolutional Neural Networks
  ☆338Updated 5 years ago
• owruby / shake-drop_pytorch
  PyTorch implementation of shake-drop regularization
  ☆54Updated 4 years ago
• sdoria / SimpleSelfAttention
  A simpler version of the self-attention layer from SAGAN, and some image classification results.
  ☆213Updated 5 years ago
• albumentations-team / autoalbument
  AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …
  ☆204Updated 3 years ago
• Randl / MobileNetV3-pytorch
  Implementation of MobileNetV3 in pytorch
  ☆89Updated 5 years ago
• Randl / kmeans_selfsuper
  ☆54Updated 3 years ago
• pabloppp / pytorch-tools
  Useful PyTorch functions and modules that are not implemented in PyTorch by default
  ☆187Updated 10 months ago
• yu4u / cutout-random-erasing
  Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
  ☆167Updated 4 years ago
• ildoonet / cutmix
  a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
  ☆167Updated 2 years ago
• ecs-vlc / FMix
  Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
  ☆333Updated 3 years ago
• moskomule / homura
  homura is a library for fast prototyping DL research
  ☆107Updated 2 years ago
• mpyrozhok / adamwr
  Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…
  ☆149Updated 5 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆243Updated 5 years ago
• mgrankin / over9000
  Over9000 optimizer
  ☆427Updated 2 years ago
• denilv / detectron2-helpers
  Helpers for detectron2
  ☆40Updated 5 years ago
• barisozmen / deepaugment
  Discover augmentation strategies tailored for your dataset
  ☆249Updated 4 years ago
• adam-mehdi / MuarAugment
  State-of-the-art data augmentation search algorithms in PyTorch
  ☆47Updated last year
• bonlime / pytorch-tools
  Tool box for PyTorch
  ☆187Updated 11 months ago
• DrHB / APTOS-2019-GOLD-MEDAL-SOLUTION
  ☆42Updated 4 years ago