Alternatives and similar repositories for splitnet-wrn:

Users that are interested in splitnet-wrn are comparing it to the libraries listed below

• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆112Updated 5 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆38Updated 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 7 years ago
• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 6 years ago
• eugenium / DGL
  ☆30Updated 4 years ago
• bmsookim / wide-residual-network
  Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges
  ☆37Updated 8 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 6 years ago
• kimhc6028 / pathnet-pytorch
  PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆80Updated 7 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• fKunstner / fast-individual-gradients-with-autodiff
  ☆26Updated 5 years ago
• jaehong31 / CGES
  Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
  ☆31Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆58Updated 6 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 7 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• paengs / Net2Net
  Tensorflow and Numpy Implementation of Net2Net (http://arxiv.org/abs/1511.05641)
  ☆47Updated 6 years ago
• dcharrezt / NeurIPS-2019-Stats
  General stats about NeurIPS 2019
  ☆28Updated 4 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• facebookresearch / foltr-es
  The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…
  ☆33Updated 3 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• cc-hpc-itwm / GradVis
  ☆39Updated 5 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 3 years ago
• nutszebra / neural_architecture_search_with_reinforcement_learning_appendix_a
  Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
  ☆55Updated 6 years ago
• layerwise / AAE-tensorflow
  Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
  ☆38Updated 7 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago