cornell-zhang / dnn-quant-ocs
DNN quantization with outlier channel splitting
☆112Updated 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
- Conditional channel- and precision-pruning on neural networks☆73Updated 5 years ago
- ☆56Updated 4 years ago
- Quantization of Convolutional Neural networks.☆244Updated 7 months ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆58Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆134Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆59Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- ☆47Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆131Updated 4 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆184Updated 3 years ago
- ☆36Updated 6 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated last year
- ☆67Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- ☆213Updated 6 years ago
- ☆39Updated 2 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆261Updated last year
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆276Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago