ricky40403 / DSQLinks
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
☆129Updated 6 years ago
Alternatives and similar repositories for DSQ
Users that are interested in DSQ are comparing it to the libraries listed below
Sorting:
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆261Updated 4 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 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
- alibabacloud-quantization-networks☆122Updated 6 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Updated 5 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 4 years ago
- ☆57Updated 5 years ago
- ☆48Updated 5 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
- A pytorch implementation of DoReFa-Net☆132Updated 6 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated 2 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Updated 5 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆114Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆243Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆281Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆136Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 7 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Updated 2 years ago
- ☆47Updated 5 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆44Updated 4 years ago