irapha / replayed_distillation

Related projects ⓘ

Alternatives and complementary repositories for replayed_distillation

• chengtaipu / lowrankcnn
  Low-rank convolutional neural networks
  ☆96Updated 8 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• chenxi116 / PNASNet.TF
  TensorFlow implementation of PNASNet-5 on ImageNet
  ☆102Updated 5 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆113Updated 6 years ago
• anubhavashok / N2N
  ☆53Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 7 years ago
• AaronHeee / MEAL
  Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
  ☆177Updated 4 years ago
• andyhahaha / Convolutional-Neural-Network-Compression-Survey
  ☆33Updated 7 years ago
• Lyken17 / SparseNet
  [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
  ☆125Updated 6 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆139Updated 5 years ago
• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆71Updated 5 years ago
• TuSimple / neuron-selectivity-transfer
  ☆134Updated 6 years ago
• gan3sh500 / octaveconv-pytorch
  Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…
  ☆56Updated 5 years ago
• deepinsight / transfer-mxnet
  transfer learning written in mxnet
  ☆55Updated 7 years ago
• wanglouis49 / pytorch-weights_pruning
  PyTorch Implementation of Weights Pruning
  ☆184Updated 6 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 5 years ago
• DNNToolBox / Net-Trim-v1
  Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
  ☆59Updated 6 years ago
• Roll920 / ThiNet
  caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342
  ☆145Updated 6 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆73Updated 7 years ago
• leehomyc / mixup_pytorch
  A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
  ☆123Updated 6 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 6 years ago
• avirambh / MSDNet-GCN
  ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction
  ☆137Updated 6 years ago
• madkn / HistogramLoss
  This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
  ☆95Updated 7 years ago
• zepx / pytorch-weight-prune
  Pytorch version for weight pruning for Murata Group's CREST project
  ☆57Updated 6 years ago
• McDonnell-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight
  ☆36Updated 4 years ago
• WeitaoVan / L-GM-loss
  Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"
  ☆172Updated 6 years ago
• tianshuichen / Wavelet-like-Auto-Encoder
  ☆64Updated 6 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆75Updated 5 years ago
• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆104Updated 5 years ago