Alternatives and similar repositories for Random_Pruning:

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

• facebookresearch / NASViT
  code for NASViT
  ☆67Updated 2 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆83Updated 3 years ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated last year
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 2 years ago
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆63Updated 10 months ago
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆44Updated 2 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆89Updated last year
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆52Updated last year
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• Roll920 / AutoPruner
  PyTorch Implementation of AutoPruner
  ☆22Updated 4 years ago
• 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
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 6 months ago
• yueb17 / DLTH
  ☆30Updated 2 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆63Updated 2 years ago
• zyxxmu / lottery-jackpots
  Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
  ☆32Updated last year
• chenbong / PSS-Net
  ☆16Updated 2 years ago
• 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
• YOUSIKI / PyTorch-FBS
  A PyTorch Implementation of Feature Boosting and Suppression
  ☆18Updated 4 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆53Updated last year
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 2 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆25Updated last year
• sony-si / ai-research
  ☆47Updated 4 years ago
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 4 years ago
• yaozhewei / HAP
  ☆43Updated last year
• ziplab / SAQ
  This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".
  ☆40Updated 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)
  ☆63Updated 3 years ago
• facebookresearch / DepthShrinker
  [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …
  ☆71Updated 2 years ago
• Shiweiliuiiiiiii / In-Time-Over-Parameterization
  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…
  ☆46Updated last year
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago