Alternatives and similar repositories for NAS-BNN

Users that are interested in NAS-BNN are comparing it to the libraries listed below

• Ruichen0424 / AB-BNN
  [CVPR 2024] Offical implementation for A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
  ☆25Updated 7 months ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆31Updated last year
• GATECH-EIC / ShiftAddNAS
  [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
  ☆16Updated 3 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
• 1157942086 / CVPR2020_Auxiliary_Quantization
  Training Quantized Neural Networks with a Full-precision Auxiliary Module
  ☆13Updated 5 years ago
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆22Updated 2 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 3 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
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 5 months ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 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
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆45Updated 9 months ago
• 1hunters / LIMPQ
  Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
  ☆56Updated 2 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• yukang2017 / NAS-quantization
  The code for Joint Neural Architecture Search and Quantization
  ☆13Updated 6 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆33Updated 11 months ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 2 months ago
• PeiyanFlying / SPViT
  ☆51Updated 10 months ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 3 years ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆20Updated 3 years ago
• GoatWu / AdaLog
  [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
  ☆29Updated 7 months ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• ziplab / QTool
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆71Updated 3 years ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• swadeykgp / DietCNN
  ☆10Updated 2 years ago