Alternatives and similar repositories for Filter-GaP

Users that are interested in Filter-GaP are comparing it to the libraries listed below

• zyxxmu / White-Box
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
  ☆18Updated 3 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆96Updated 2 years ago
• ososos888 / prune-then-distill
  ☆48Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆124Updated 2 years ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆282Updated 4 years ago
• changlin31 / DS-Net
  (CVPR 2021, Oral) Dynamic Slimmable Network
  ☆229Updated 3 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆347Updated 2 years ago
• lihuantong / HAST
  ☆12Updated last year
• zysxmu / IntraQ
  Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…
  ☆33Updated 3 years ago
• lippman1125 / channel_pruning_lasso
  channel pruning for accelerating very deep neural networks
  ☆13Updated 4 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆58Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆224Updated 3 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆133Updated 3 years ago
• DingXiaoH / ResRep
  ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)
  ☆297Updated 2 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
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆43Updated 2 years ago
• aim-uofa / model-quantization
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆44Updated 4 years ago
• Hao840 / vanillaKD
  PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781
  ☆75Updated last year
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆39Updated 3 years ago
• dvlab-research / ReviewKD
  Distilling Knowledge via Knowledge Review, CVPR 2021
  ☆276Updated 2 years ago
• jshilong / FisherPruning
  Group Fisher Pruning for Practical Network Compression(ICML2021)
  ☆160Updated 2 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆137Updated 4 years ago
• idstcv / ZenNAS
  ☆227Updated 3 years ago
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆65Updated last year
• xidongwu / AutoTrainOnce
  ☆17Updated 10 months ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆93Updated 2 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆54Updated 2 years ago
• VITA-Group / Random_Pruning
  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…
  ☆75Updated 2 years ago
• hunto / DIST_KD
  Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022
  ☆148Updated 2 years ago