Alternatives and similar repositories for shake-drop_pytorch:

Users that are interested in shake-drop_pytorch are comparing it to the libraries listed below

• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆121Updated 3 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• owruby / shake-shake_pytorch
  PyTorch implementation of shake-shake regularization
  ☆48Updated 4 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 4 years ago
• megvii-model / MABN
  ☆182Updated 2 years ago
• gupta-abhay / pytorch-frn
  Filter Response Normalization Layer in PyTorch
  ☆121Updated 5 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆93Updated 4 years ago
• znxlwm / pytorch-apex-experiment
  Simple experiment of Apex (A PyTorch Extension)
  ☆47Updated 5 years ago
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 5 years ago
• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆89Updated 2 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 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
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆152Updated 5 years ago
• dyhan0920 / PyramidNet-PyTorch
  A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
  ☆272Updated 4 years ago
• BayesWatch / pytorch-moonshine
  Cheap distillation for convolutional neural networks.
  ☆33Updated 6 years ago
• leaderj1001 / Mixed-Depthwise-Convolutional-Kernels
  Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
  ☆62Updated 4 years ago
• human-analysis / MUXConv
  MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation
  ☆51Updated 3 years ago
• 4uiiurz1 / pytorch-auto-augment
  PyTorch implementation of AutoAugment.
  ☆159Updated 4 years ago
• VDIGPKU / DADA
  [ECCV 2020] DADA: Differentiable Automatic Data Augmentation
  ☆190Updated last year
• moskomule / homura
  homura is a library for fast prototyping DL research
  ☆107Updated 2 years ago
• ppwwyyxx / GroupNorm-reproduce
  An official collection of code in different frameworks that reproduces experiments in "Group Normalization"
  ☆119Updated 4 years ago
• facebookresearch / unnas
  Code for "Are labels necessary for neural architecture search"
  ☆92Updated last year
• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆104Updated 5 years ago
• IBM / BigLittleNet
  Official repository for Big-Little Net
  ☆58Updated 5 years ago
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 2 years ago
• JunYeopLee / fast-autoaugment-efficientnet-pytorch
  A Pytorch implementation of Fast AutoAugment and EfficientNet
  ☆119Updated 5 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)
  ☆169Updated 2 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆128Updated 3 years ago
• moskomule / mixup.pytorch
  an implementation of mixup
  ☆41Updated 4 years ago
• SoojungYang / supervised_pretraining_GN_WS
  Supervised NN for pre-training. with group normalization and weight standardization
  ☆30Updated 5 years ago