kaiqzhan / admm-pruningLinks
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
☆108Updated 4 years ago
Alternatives and similar repositories for admm-pruning
Users that are interested in admm-pruning are comparing it to the libraries listed below
Sorting:
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆243Updated 3 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 2 years ago
- Code example for the ICLR 2018 oral paper☆153Updated 7 years ago
- ☆214Updated 6 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Updated 5 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆115Updated 5 years ago
- alibabacloud-quantization-networks☆122Updated 5 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- ☆46Updated 5 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- Reducing the size of convolutional neural networks☆111Updated 7 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
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆167Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆180Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago