jun-fang / PWLQLinks
Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
☆69Updated 3 years ago
Alternatives and similar repositories for PWLQ
Users that are interested in PWLQ are comparing it to the libraries listed below
Sorting:
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 5 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Updated 2 years ago
- ☆40Updated 2 years ago
- ☆57Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Updated 5 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 3 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- ☆47Updated 3 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆58Updated 6 years ago
- ☆48Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆41Updated 4 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- ☆44Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Updated last year
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- Quantization of Convolutional Neural networks.☆245Updated last year
- ☆46Updated 5 years ago