Alternatives and similar repositories for group_sparsity

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

• lmbxmu / FilterSketch
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning
  ☆53Updated 4 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 4 years ago
• lmbxmu / ABCPruner
  Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
  ☆145Updated 4 years ago
• Pokemon-Huang / sparse-structure-selection-PyTorch
  PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"
  ☆20Updated 5 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• DingXiaoH / AOFP
  Codes of Approximated Oracle Filter Pruning
  ☆32Updated 2 years ago
• Zx55 / dmcp
  ☆120Updated 5 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆49Updated last year
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• frankwang345 / pruning-from-scratch
  ☆19Updated 5 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆73Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆43Updated 2 years ago
• ChaofanTao / FAT_Quantization
  Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation
  ☆27Updated 4 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆41Updated 6 years ago
• megvii-model / AngleNAS
  ☆54Updated 5 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago
• meijieru / yet_another_mobilenet_series
  Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation
  ☆64Updated 5 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆38Updated 3 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 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
• yousiki / PyTorch-FBS
  A PyTorch Implementation of Feature Boosting and Suppression
  ☆18Updated 4 years ago
• AberHu / TF-NAS
  TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
  ☆76Updated 4 years ago