cornell-zhang / dnn-quant-ocsLinks
DNN quantization with outlier channel splitting
☆113Updated 5 years ago
Alternatives and similar repositories for dnn-quant-ocs
Users that are interested in dnn-quant-ocs are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- Quantization of Convolutional Neural networks.☆244Updated 11 months ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- ☆57Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- ☆39Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 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
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆135Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- ☆213Updated 6 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- ☆47Updated 3 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆389Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- ☆36Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 years ago