z-hXu / ReCU
Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/abs/2103.12369
☆39Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ReCU
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆115Updated 2 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆36Updated 3 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- EQ-Net [ICCV 2023]☆26Updated last year
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆89Updated last year
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆69Updated 4 years ago
- ☆68Updated 2 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆32Updated 2 years ago
- ☆38Updated last year
- LSQ+ or LSQplus☆59Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆34Updated last month
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆56Updated 2 years ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆12Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆29Updated 3 months ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆41Updated 3 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 2 years ago
- ☆47Updated 4 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆124Updated 4 years ago
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆11Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆83Updated last year
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆32Updated last year
- Any-Precision Deep Neural Networks (AAAI 2021)☆56Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆57Updated 4 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆53Updated last year
- ☆13Updated last year
- A pytorch implementation of dorefa quantization☆112Updated 4 years ago