PolarisShi / purning
☆36Updated 6 years ago
Alternatives and similar repositories for purning:
Users that are interested in purning are comparing it to the libraries listed below
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆377Updated 5 years ago
- Base to channel pruned to ResNet18 model☆144Updated 2 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Updated 6 years ago
- Try out different pruning-approaches on lightweight Backbones.☆143Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆176Updated 2 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆149Updated last year
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆352Updated 4 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆570Updated 5 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- Personal Pytorch toy script.☆67Updated 2 years ago
- fixed-point, symmetric, power-of-2 quantization-aware training in tensorflow 1.13.1☆12Updated 5 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆566Updated 5 years ago
- DL quantization for pytorch☆25Updated 5 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- A pytorch implementation of dorefa quantization☆112Updated 5 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆253Updated 3 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
- [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
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆306Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆436Updated last year
- Pruned model: VGG & ResNet-50☆17Updated 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
- Unofficial Pytorch implementation of Deep Compression in CIFAR10☆34Updated 3 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 4 years ago
- Apply the pruning strategy for MobileNet_v2☆51Updated 5 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆182Updated 3 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
- Compress neural network with pruning and quantization using TensorFlow.☆105Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆143Updated 3 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago