ModelTC / LPCV2021_Winner_SolutionLinks
☆28Updated 3 years ago
Alternatives and similar repositories for LPCV2021_Winner_Solution
Users that are interested in LPCV2021_Winner_Solution are comparing it to the libraries listed below
Sorting:
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago
- ☆47Updated 4 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 4 years ago
- ☆17Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated last year
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- ☆12Updated 2 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- ☆28Updated 4 years ago
- ☆34Updated 2 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
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 8 months ago
- [CVPR 2022] AlignQ: Alignment Quantization with ADMM-based Correlation Preservation☆11Updated 2 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆56Updated 2 years ago
- ☆19Updated 4 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆23Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- ☆46Updated 5 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆71Updated 3 years ago