ECoLab-POSTECH / NIPQLinks
☆16Updated 2 years ago
Alternatives and similar repositories for NIPQ
Users that are interested in NIPQ are comparing it to the libraries listed below
Sorting:
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆37Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- LSQ+ or LSQplus☆70Updated 5 months ago
- ☆12Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆21Updated last year
- 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
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆45Updated 9 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated 2 years ago
- Post-Training Quantization for Vision transformers.☆222Updated 3 years ago
- (ICCV 2023) Official implementation of Rectified Straight Through Estimator (ReSTE).☆28Updated 10 months ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆93Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆135Updated 4 years ago
- ☆76Updated 3 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆298Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆279Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated last year
- ☆206Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆123Updated 2 years ago
- The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.☆14Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 3 years ago
- ☆17Updated 2 years ago
- DeiT implementation for Q-ViT☆24Updated 3 months ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆96Updated 2 years ago
- ☆43Updated last year
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 5 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago