mengrang / Slimming-pytorch
Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”
☆77Updated 6 years ago
Alternatives and similar repositories for Slimming-pytorch:
Users that are interested in Slimming-pytorch are comparing it to the libraries listed below
- Base to channel pruned to ResNet18 model☆145Updated 2 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 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
- Apply the pruning strategy for MobileNet_v2☆51Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- ☆120Updated 4 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆184Updated 4 years ago
- ☆38Updated 6 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆165Updated 4 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆143Updated 4 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
- Personal Pytorch toy script.☆67Updated 2 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆379Updated 5 years ago
- Codes of Centripetal SGD☆63Updated 2 years ago
- ☆68Updated 5 years ago
- Code for IJCAI2019 paper☆46Updated 5 years ago
- ☆19Updated 4 years ago
- ☆75Updated 6 years ago
- network slimming with pytorch☆24Updated 4 years ago
- ☆134Updated 6 years ago
- ☆45Updated 5 years ago
- ☆36Updated 6 years ago
- Try out different pruning-approaches on lightweight Backbones.☆146Updated 4 years ago
- SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.☆245Updated 3 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆255Updated 4 years ago
- Neural architecture search(NAS)☆14Updated 5 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆149Updated 3 years ago