Alternatives and similar repositories for pruning-from-scratch

Users that are interested in pruning-from-scratch are comparing it to the libraries listed below

• lmbxmu / ABCPruner
  Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
  ☆146Updated 4 years ago
• lmbxmu / FilterSketch
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning
  ☆53Updated 4 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• Roll920 / AutoPruner
  PyTorch Implementation of AutoPruner
  ☆23Updated 5 years ago
• VDIGPKU / OPANAS
  [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
  ☆45Updated last year
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 6 years ago
• polarizationpruning / PolarizationPruning
  Implementation of Neuron-level Structured Pruning using Polarization Regularizer
  ☆82Updated 2 years ago
• bychen515 / BNNAS
  ☆30Updated 3 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆48Updated 3 years ago
• szq0214 / S2-BNN
  S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
  ☆64Updated 3 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 3 years ago
• xieydd / Pytorch-Single-Path-One-Shot-NAS
  Single Path One-Shot NAS MXNet implementation with Supernet training and searching
  ☆19Updated 5 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• megvii-model / AngleNAS
  ☆54Updated 5 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
• Zx55 / dmcp
  ☆120Updated 5 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆55Updated 5 years ago
• Pokemon-Huang / sparse-structure-selection-PyTorch
  PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"
  ☆20Updated 5 years ago
• lmbxmu / HRankPlus
  An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map
  ☆151Updated 4 years ago
• DingXiaoH / AOFP
  Codes of Approximated Oracle Filter Pruning
  ☆32Updated 2 years ago
• kalviny / IMTA
  ☆47Updated 5 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 3 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 4 years ago
• AberHu / TF-NAS
  TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
  ☆76Updated 4 years ago
• VITA-Group / BNN_NoBN
  [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…
  ☆57Updated 3 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago