ModelTC / LPCV2021_Winner_SolutionLinks
☆28Updated 4 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…☆25Updated 2 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆22Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆17Updated 3 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Pytorch implementation of RAPQ, IJCAI 2022☆23Updated 2 years ago
- Fast NPU-aware Neural Architecture Search☆22Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆27Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- ☆25Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- ☆36Updated 2 years ago
- ☆48Updated 5 years ago
- ☆35Updated 6 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Updated 6 years ago
- ☆44Updated 4 years ago
- Static Block Floating Point Quantization for CNN☆37Updated 4 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- ☆28Updated 5 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Updated 4 years ago
- ☆19Updated 4 years ago