NVlabs / Taylor_pruningLinks
Pruning Neural Networks with Taylor criterion in Pytorch
☆319Updated 5 years ago
Alternatives and similar repositories for Taylor_pruning
Users that are interested in Taylor_pruning are comparing it to the libraries listed below
Sorting:
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 5 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆115Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆382Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 2 years ago
- ☆214Updated 6 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆924Updated 2 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Updated 2 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆156Updated last year
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆151Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆255Updated 4 years ago
- ☆263Updated 5 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆151Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 4 years ago
- SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.☆245Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- ConvNet training using pytorch☆348Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆109Updated 6 years ago
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆140Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- ☆165Updated 2 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- Papers for deep neural network compression and acceleration☆400Updated 4 years ago