foolwood / pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
☆570Updated 5 years ago
Alternatives and similar repositories for pytorch-slimming:
Users that are interested in pytorch-slimming are comparing it to the libraries listed below
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆567Updated 5 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆378Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 4 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆253Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆306Updated 2 years ago
- Base to channel pruned to ResNet18 model☆144Updated 2 years ago
- Try out different pruning-approaches on lightweight Backbones.☆143Updated 4 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,082Updated 9 months ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆604Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆437Updated last year
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆149Updated last year
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆293Updated 2 years ago
- yolov3 network slimming剪枝的一种实现☆344Updated 5 years ago
- Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).☆432Updated 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
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆916Updated last year
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆877Updated 5 years ago
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆271Updated 6 years ago
- Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network …☆243Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some…☆782Updated 3 years ago
- ShuffleNet-V2 for both PyTorch and Caffe.☆506Updated 6 years ago
- Implementing Searching for MobileNetV3 paper using Pytorch☆293Updated 5 years ago
- model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular a…☆170Updated 4 years ago
- ☆262Updated 5 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆176Updated 2 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆315Updated 5 years ago
- ☆297Updated 4 years ago