Alternatives and similar repositories for glqblog

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

• mengrang / Slimming-pytorch
  Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”
  ☆77Updated 6 years ago
• pzhren / Awesome-NAS
  ☆196Updated 9 months ago
• PolarisShi / distillation
  ☆75Updated 6 years ago
• huangzehao / sparse-structure-selection
  ☆38Updated 6 years ago
• eeric / channel_prune
  Base to channel pruned to ResNet18 model
  ☆145Updated 2 years ago
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆183Updated 4 years ago
• qinjian623 / pytorch_toys
  Personal Pytorch toy script.
  ☆67Updated 3 years ago
• liuzechun / MetaPruning
  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.
  ☆355Updated 4 years ago
• YingZhangDUT / Deep-Mutual-Learning
  TensorFlow Implementation of Deep Mutual Learning
  ☆321Updated 7 years ago
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆87Updated 6 years ago
• ShunLu91 / Single-Path-One-Shot-NAS
  SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.
  ☆245Updated 3 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆176Updated 2 years ago
• polarizationpruning / PolarizationPruning
  Implementation of Neuron-level Structured Pruning using Polarization Regularizer
  ☆81Updated 2 years ago
• adri-romsor / FitNets
  FitNets: Hints for Thin Deep Nets
  ☆207Updated 10 years ago
• AaronHeee / MEAL
  Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
  ☆177Updated 5 years ago
• bhpfelix / MTLNAS
  [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
  ☆94Updated 2 years ago
• luckyqsz / BCRC-ASAGroup
  Paper Reading Notes
  ☆42Updated 4 years ago
• iamhankai / Versatile-Filters
  Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)
  ☆79Updated 5 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 4 years ago
• ChanChiChoi / awesome-model-compression
  papers about model compression
  ☆166Updated 2 years ago
• he-y / soft-filter-pruning
  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
  ☆380Updated 5 years ago
• Sophia-11 / Awesome-NeurIPS2019-NIPS2019
  人工智能和机器学习领域的国际顶级会议NeurIPS论文收集
  ☆101Updated 5 years ago
• thaonguyen19 / ModelDistillation-PyTorch
  PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression
  ☆58Updated 7 years ago
• PolarisShi / purning
  ☆36Updated 6 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆114Updated 5 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆41Updated 6 years ago
• htqin / IR-Net
  [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…
  ☆179Updated 5 years ago
• megvii-model / MetaPruning
  ☆45Updated 5 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago