liuzechun / Nonuniform-to-Uniform-Quantization
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
☆132Updated 3 years ago
Alternatives and similar repositories for Nonuniform-to-Uniform-Quantization
Users that are interested in Nonuniform-to-Uniform-Quantization are comparing it to the libraries listed below
Sorting:
- LSQ+ or LSQplus☆68Updated 3 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆121Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆55Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆131Updated 4 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆272Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆216Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆291Updated last year
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆92Updated last year
- ☆76Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 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…☆38Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆34Updated 3 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆35Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆273Updated 5 months ago
- ☆34Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆44Updated 7 months ago
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated last year
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆54Updated 2 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆278Updated last year