chenhang98 / mobileNet-v2_cifar10Links
a pytorch implement of mobileNet v2 on cifar10
☆62Updated 2 years ago
Alternatives and similar repositories for mobileNet-v2_cifar10
Users that are interested in mobileNet-v2_cifar10 are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆23Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆150Updated last year
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 5 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆144Updated 4 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆149Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆318Updated 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 5 years ago
- A pytorch implementation of DoReFa-Net☆133Updated 5 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- pytorch-tiny-imagenet☆176Updated last year
- PyTorch Implementation of AutoPruner☆23Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated last year
- Implementation network trimming using pytorch☆13Updated 5 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- Try out different pruning-approaches on lightweight Backbones.☆145Updated 5 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 4 years ago
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆83Updated 3 years ago
- ☆39Updated 2 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).☆36Updated 2 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 4 years ago