csyhhu / L-OBS

Related projects ⓘ

Alternatives and complementary repositories for L-OBS

• wanglouis49 / pytorch-weights_pruning
  PyTorch Implementation of Weights Pruning
  ☆184Updated 6 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆107Updated 4 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆111Updated 5 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆114Updated 4 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆174Updated 2 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 5 years ago
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆105Updated 5 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆329Updated 3 months ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆149Updated 6 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆90Updated 3 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆113Updated 6 years ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆314Updated 5 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆113Updated 4 years ago
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 5 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 6 years ago
• huangzehao / sparse-structure-selection
  ☆38Updated 6 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 4 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆239Updated 2 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆101Updated 4 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 6 years ago
• JunrQ / NAS
  Neural architecture search(NAS)
  ☆14Updated 5 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
  ☆146Updated 6 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 6 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆164Updated 4 years ago
• caiwenpu / Compression_Paper
  ☆45Updated 5 years ago
• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 5 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆112Updated 3 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆62Updated 2 years ago