1hunters / LIMPQ
Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
☆50Updated last year
Alternatives and similar repositories for LIMPQ:
Users that are interested in LIMPQ are comparing it to the libraries listed below
- ☆25Updated 3 years ago
- ☆73Updated 2 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆53Updated 10 months ago
- Post-training sparsity-aware quantization☆34Updated last year
- EQ-Net [ICCV 2023]☆27Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated 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 "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 4 months ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- BitSplit Post-trining Quantization☆48Updated 3 years ago
- ☆43Updated 11 months ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆38Updated 4 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- Reproducing Quantization paper PACT☆59Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆50Updated last year
- ☆34Updated last year
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- ☆38Updated 2 years ago
- ☆18Updated 3 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆114Updated last year
- LSQ+ or LSQplus☆61Updated last year
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆32Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆120Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 2 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 5 years ago
- Code for ICML 2021 submission☆35Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆31Updated 2 years ago