ruihangdu / PyTorch-Deep-Compression
A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
☆40Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for PyTorch-Deep-Compression
- ☆213Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆174Updated 2 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 4 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆75Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆149Updated 6 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆32Updated 5 years ago
- Reducing the size of convolutional neural networks☆112Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆239Updated 2 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆82Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆111Updated 5 years ago
- Reproduction of WAGE in PyTorch.☆41Updated 6 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆54Updated 6 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 6 years ago
- Implementation for Trained Ternary Network.☆108Updated 7 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆105Updated 5 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆153Updated 4 months ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆107Updated 4 years ago
- ☆53Updated 5 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆146Updated 6 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆41Updated 4 years ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆105Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆178Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆376Updated 5 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago