lswzjuer / pytorch-quantityLinks
An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)
☆32Updated 6 years ago
Alternatives and similar repositories for pytorch-quantity
Users that are interested in pytorch-quantity are comparing it to the libraries listed below
Sorting:
- Personal Pytorch toy script.☆67Updated last month
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- alibabacloud-quantization-networks☆122Updated 6 years ago
- ☆47Updated 6 years ago
- Explained QNNPACK Implementation☆21Updated 3 months ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- Batch Normalization Auto-fusion for PyTorch☆32Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Updated 2 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 7 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Updated 2 years ago
- ☆48Updated 5 years ago
- ☆57Updated 5 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆57Updated 7 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆181Updated 5 years ago
- Apply the pruning strategy for MobileNet_v2☆52Updated 6 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆407Updated 3 years ago
- Simulate quantization and quantization aware training for MXNet-Gluon models.☆45Updated 5 years ago
- ☆28Updated 4 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Updated 6 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Updated 3 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆114Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago