PyTorch implementation of "Pruning Filters For Efficient ConvNets"
☆155Jul 24, 2023Updated 2 years ago
Alternatives and similar repositories for Pruning_filters_for_efficient_convnets
Users that are interested in Pruning_filters_for_efficient_convnets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Jun 15, 2020Updated 5 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 6 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆618Aug 31, 2023Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆257Feb 11, 2021Updated 5 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,517Jun 7, 2020Updated 5 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Jun 4, 2020Updated 5 years ago
- PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"☆40Jul 24, 2023Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆919Nov 6, 2020Updated 5 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆147Feb 11, 2021Updated 5 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆16Sep 28, 2021Updated 4 years ago
- A curated list of neural network pruning resources.☆2,491Apr 4, 2024Updated last year
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆577May 13, 2019Updated 6 years ago
- PyTorch Implementation of AutoPruner☆23Jun 11, 2020Updated 5 years ago
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆24Jun 11, 2020Updated 5 years ago
- Apply the pruning strategy for MobileNet_v2☆51May 5, 2019Updated 6 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆887Jul 12, 2019Updated 6 years ago
- ☆17Apr 1, 2020Updated 5 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆152May 17, 2021Updated 4 years ago
- Pruned model: VGG & ResNet-50☆19Apr 11, 2019Updated 6 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated last year
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆17Feb 23, 2026Updated last month
- PyTorch Implementation of Weights Pruning☆185Jan 24, 2018Updated 8 years ago
- Efficient tensor decomposition-based filter pruning☆34Jul 23, 2025Updated 8 months ago
- This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares…☆26Aug 21, 2020Updated 5 years ago
- Pruning Filter in Filter(NeurIPS2020)☆148Mar 3, 2024Updated 2 years ago
- Code for IJCAI2019 paper☆46Jul 5, 2019Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆181Nov 10, 2022Updated 3 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,270May 6, 2025Updated 10 months ago
- Simple python code to prune pytorch model☆22Feb 11, 2020Updated 6 years ago
- Implementation network trimming using pytorch☆15Apr 20, 2020Updated 5 years ago
- Code for the paper "Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection"☆14Aug 18, 2021Updated 4 years ago
- Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)☆17Sep 19, 2021Updated 4 years ago
- The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'☆14Aug 16, 2024Updated last year
- Compression of NMT transformer model with tensor methods☆48Jun 7, 2019Updated 6 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Jan 14, 2019Updated 7 years ago
- Summary, Code for Deep Neural Network Quantization☆559Jun 14, 2025Updated 9 months ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆929Mar 9, 2023Updated 3 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Dec 8, 2022Updated 3 years ago
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,275Sep 7, 2025Updated 6 months ago