ucbdrive / skipnet
Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)
☆240Updated 5 years ago
Alternatives and similar repositories for skipnet:
Users that are interested in skipnet are comparing it to the libraries listed below
- PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs☆185Updated 6 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆142Updated 2 years ago
- ☆166Updated 2 years ago
- MSDNet☆190Updated 3 years ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）☆461Updated 5 years ago
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆139Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆165Updated 4 years ago
- ☆213Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆331Updated 8 months ago
- Neural architecture search(NAS)☆14Updated 5 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆222Updated 4 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆362Updated 5 years ago
- a list of awesome papers on deep model ompression and acceleration☆351Updated 3 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Tools for computing model parameters and FLOPs.☆86Updated 6 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 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
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆273Updated 6 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 4 years ago
- Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)☆294Updated 4 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- FitNets: Hints for Thin Deep Nets☆205Updated 9 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆379Updated 5 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆207Updated 5 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆184Updated 4 years ago