Alternatives and similar repositories for SelectiveBackPropagation:

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

• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• yaozhewei / HAP
  ☆43Updated last year
• mary-phuong / multiexit-distillation
  ☆22Updated 5 years ago
• bohanzhuang / Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks
  This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
  ☆20Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆44Updated 3 years ago
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 4 years ago
• AamirRaihan / SWAT
  Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.
  ☆27Updated 3 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆27Updated 4 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 4 years ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• YukeWang96 / DSXplore_IPDPS21
  Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.
  ☆13Updated 3 years ago
• marsggbo / NAS-LID
  [AAAI2023] NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
  ☆16Updated 2 years ago
• Yu-Zhewen / SVD-NAS
  ☆11Updated 2 years ago
• pprp / CVPR2022-NAS-competition-Track1-3th-solution
  Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
  ☆22Updated last year
• A-suozhang / Papers-of-NAS
  Personal Digest of NAS (Under Construction 🛠)
  ☆25Updated 4 years ago
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 2 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆71Updated 4 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆30Updated 10 months ago
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated last year
• GATECH-EIC / ShiftAddNAS
  [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
  ☆15Updated 2 years ago
• chenbong / PSS-Net
  ☆16Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 3 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆31Updated 4 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆32Updated last year