bohanzhuang / Group-Net-image-classification
Structured Binary Neural Networks for Image Recognition
☆17Updated 3 years ago
Alternatives and similar repositories for Group-Net-image-classification:
Users that are interested in Group-Net-image-classification are comparing it to the libraries listed below
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆68Updated 3 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
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆38Updated 3 months ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- BitSplit Post-trining Quantization☆48Updated 3 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆13Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆53Updated 10 months ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated last year
- DeiT implementation for Q-ViT☆24Updated 2 years ago
- ☆12Updated 2 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆42Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆45Updated last year
- Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies☆11Updated 2 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆47Updated 2 months ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆40Updated 3 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆90Updated last year
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 4 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆85Updated last year
- ☆16Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- ☆73Updated 2 years ago
- ☆25Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated last year
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago