ZiweiWangTHU / GMPQ

Related projects ⓘ

Alternatives and complementary repositories for GMPQ

• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• MAC-AutoML / OMPQ
  ☆24Updated 2 years ago
• chenbong / PSS-Net
  ☆16Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆28Updated 3 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆20Updated 3 years ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 2 years ago
• Adamdad / Samesame
  An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…
  ☆10Updated 4 years ago
• ziplab / QTool
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆68Updated 3 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 3 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
• ModelTC / L2_Compression
  ☆11Updated 4 months ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 3 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 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
• GATECH-EIC / ShiftAddNAS
  [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
  ☆14Updated 2 years ago
• 1adrianb / binary-nas
  ☆35Updated 4 years ago
• yukang2017 / NAS-quantization
  The code for Joint Neural Architecture Search and Quantization
  ☆13Updated 5 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆67Updated 2 years ago
• ziplab / SAQ
  This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".
  ☆40Updated 2 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆31Updated 11 months ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆59Updated 3 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆29Updated 2 months 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
• bychen515 / BNNAS
  ☆30Updated 2 years ago
• ofsoundof / random_channel_pruning
  ☆17Updated 2 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…
  ☆56Updated 2 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 2 years ago
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆17Updated 7 months ago