Shunli-Wang / Tiny-YOLO-LSQ
This is an implementation of YOLO using LSQ network quantization method.
☆22Updated 2 years ago
Alternatives and similar repositories for Tiny-YOLO-LSQ:
Users that are interested in Tiny-YOLO-LSQ are comparing it to the libraries listed below
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- ☆28Updated 3 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- BitSplit Post-trining Quantization☆48Updated 3 years ago
- My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, …☆41Updated last year
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆25Updated last year
- Post-training sparsity-aware quantization☆34Updated last year
- Neural Network Quantization With Fractional Bit-widths☆12Updated 3 years ago
- Data Free Quantization for Object Detection☆17Updated 4 years ago
- ☆35Updated 5 years ago
- ☆10Updated last year
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- Pytorch implementation of RAPQ, IJCAI 2022☆21Updated last year
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆33Updated 3 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆13Updated 4 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 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…☆39Updated 3 years ago
- Reproducing Quantization paper PACT☆59Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- ☆73Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆34Updated last year
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 4 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆16Updated 2 years ago
- DeiT implementation for Q-ViT☆24Updated 2 years ago
- ☆47Updated 2 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- Low Precision(quantized) Yolov5☆33Updated 11 months ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 8 months ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 5 years ago