Alternatives and similar repositories for SGDR

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

• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆189Updated 8 years ago
• xgastaldi / shake-shake
  2.86% and 15.85% on CIFAR-10 and CIFAR-100
  ☆295Updated 6 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• lmzintgraf / DeepVis-PredDiff
  Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
  ☆118Updated 7 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆139Updated 8 years ago
• noahfl / densenet-sdr
  repo that holds code for improving on dropout using Stochastic Delta Rule
  ☆142Updated 6 years ago
• chenxi116 / PNASNet.pytorch
  PyTorch implementation of PNASNet-5 on ImageNet
  ☆317Updated 2 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 6 years ago
• DingKe / pytorch_workplace
  Random miniprojects with pytorch.
  ☆171Updated 6 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆145Updated 8 years ago
• loshchil / AdamW-and-SGDW
  Decoupled Weight Decay Regularization (ICLR 2019)
  ☆275Updated 6 years ago
• renmengye / revnet-public
  Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
  ☆360Updated 6 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆313Updated 5 years ago
• pumpikano / tf-magnet-loss
  Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
  ☆95Updated 7 years ago
• BayesWatch / sequential-imagenet-dataloader
  A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
  ☆239Updated 3 years ago
• openai / weightnorm
  Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…
  ☆366Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• leehomyc / mixup_pytorch
  A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
  ☆123Updated 7 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• ducha-aiki / LSUVinit
  Reference caffe implementation of LSUV initialization
  ☆113Updated 7 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• lnsmith54 / super-convergence
  Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"
  ☆191Updated 7 years ago
• titu1994 / BatchRenormalization
  Batch Renormalization algorithm implementation in Keras
  ☆98Updated 6 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 5 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆141Updated 5 years ago