liangyn22 / MCUFormerLinks
[NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
☆68Updated last year
Alternatives and similar repositories for MCUFormer
Users that are interested in MCUFormer are comparing it to the libraries listed below
Sorting:
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- Post-Training Quantization for Vision transformers.☆218Updated 2 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆89Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- LSQ+ or LSQplus☆69Updated 4 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 8 months ago
- List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.☆90Updated last year
- ☆76Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆122Updated last year
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆29Updated 5 months ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆132Updated 3 years ago
- ☆34Updated 2 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆70Updated 2 years ago
- DeiT implementation for Q-ViT☆25Updated last month
- EQ-Net [ICCV 2023]☆29Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆68Updated 10 months ago
- [CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything☆74Updated 11 months ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆343Updated 2 years ago
- ☆60Updated 11 months ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.☆23Updated 2 years ago
- 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
- Recent Advances on Efficient Vision Transformers☆51Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago