Alternatives and similar repositories for sdgp:

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

• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 2 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 last year
• yaozhewei / HAP
  ☆43Updated last year
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆19Updated 2 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• lightmatter-ai / INT-FP-QSim
  Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.
  ☆47Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆27Updated 4 years ago
• Qualcomm-AI-research / gptvq
  ☆27Updated 11 months ago
• Qualcomm-AI-research / oscillations-qat
  ☆75Updated 2 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• naver-aics / lut-gemm
  ☆52Updated 11 months ago
• VITA-Group / Structure-LTH
  [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…
  ☆32Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆49Updated 3 years ago
• ScalingIntelligence / CATS
  ☆24Updated 4 months ago
• zyxxmu / LBC
  Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
  ☆17Updated 2 years ago
• AamirRaihan / SWAT
  Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.
  ☆27Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆141Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• aojunzz / DominoSearch
  ☆18Updated 3 years ago
• Qualcomm-AI-research / outlier-free-transformers
  ☆40Updated last year
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆34Updated last year
• BoyuanFeng / APNN-TC
  ☆17Updated 3 years ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 7 months ago