Alternatives and similar repositories for SQAKD

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

• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆55Updated last year
• Qualcomm-AI-research / oscillations-qat
  ☆78Updated 3 years ago
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆62Updated 2 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆46Updated last year
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆28Updated last year
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 6 months ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆100Updated 2 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆30Updated last year
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago
• Phuoc-Hoan-Le / BinaryViT
  BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
  ☆37Updated last year
• WeixiangXu / STTN
  ☆17Updated 3 years ago
• Qualcomm-AI-research / pruning-vs-quantization
  ☆25Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆35Updated last year
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆75Updated 9 months ago
• NVlabs / NViT
  ☆25Updated last year
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 3 years ago
• parsa-epfl / quantization-sparsity-interplay
  This repo contains the code for studying the interplay between quantization and sparsity methods
  ☆23Updated 8 months ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆60Updated 2 years ago
• lihuantong / HAST
  ☆12Updated 2 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆134Updated 3 years ago
• Ruichen0424 / AB-BNN
  [CVPR 2024] Offical implementation for "A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network"
  ☆24Updated 11 months ago
• htqin / DSG
  This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…
  ☆14Updated 2 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆233Updated 3 years ago
• zysxmu / FDDA
  Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
  ☆15Updated 3 years ago
• tinganchen / AlignQ
  [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
  ☆11Updated 2 years ago
• IST-DASLab / spdy
  Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"
  ☆20Updated 2 years ago