Alternatives and similar repositories for ALQ

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

• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆35Updated 3 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆135Updated 4 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
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 2 months ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• hfutqian / AdaSG
  Rethinking Data-Free Quantization as a Zero-Sum Game
  ☆9Updated 7 months ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 2 years ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆69Updated 4 months ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 4 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 5 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆133Updated 5 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆56Updated 5 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆56Updated last year
• tinganchen / AlignQ
  [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation
  ☆11Updated 2 years ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆93Updated 2 years ago
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆54Updated 2 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆73Updated 4 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆33Updated 10 months ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 8 months ago