Alternatives and similar repositories for Tutorial-SoftWeightSharingForNNCompression

Users that are interested in Tutorial-SoftWeightSharingForNNCompression are comparing it to the libraries listed below

• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 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 8 years ago
• mfigurnov / sact
  Spatially Adaptive Computation Time for Residual Networks
  ☆248Updated 2 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆74Updated 5 years ago
• szagoruyko / cifar.torch
  92.45% on CIFAR-10 in Torch
  ☆174Updated 8 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆313Updated 5 years ago
• xgastaldi / shake-shake
  2.86% and 15.85% on CIFAR-10 and CIFAR-100
  ☆296Updated 6 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 6 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"
  ☆192Updated 7 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 8 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆213Updated 8 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 7 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 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"
  ☆145Updated 8 years ago
• ducha-aiki / LSUVinit
  Reference caffe implementation of LSUV initialization
  ☆114Updated 7 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 9 years ago
• csarofeen / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆38Updated 7 years ago
• jhkim89 / PyramidNet
  Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
  ☆131Updated 7 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• apaszke / torch-opCounter
  ☆28Updated 7 years ago
• pytorch / extension-ffi
  Examples of C extensions for PyTorch
  ☆256Updated 2 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• zergylord / oneshot
  ☆69Updated 8 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆239Updated 6 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• songhan / DSD
  DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture
  ☆113Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• mavenlin / cuda-convnet
  started from Alex's code on google code
  ☆43Updated 10 years ago