jack-willturner / deep-compression
Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
☆174Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-compression
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆376Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 6 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Updated 4 years ago
- ☆213Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆131Updated 4 years ago
- Base to channel pruned to ResNet18 model☆143Updated 2 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆329Updated 3 months ago
- Codes for Layer-wise Optimal Brain Surgeon☆75Updated 5 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 4 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆148Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 4 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆153Updated 4 months ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Updated 4 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆430Updated 11 months 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
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆239Updated 2 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆107Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆314Updated 5 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆413Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆105Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆274Updated 11 months ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 5 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆147Updated 3 years ago
- a pytorch implement of mobileNet v2 on cifar10☆61Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆258Updated last year
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆111Updated 5 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆184Updated 4 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆252Updated 3 years ago