lmbxmu / EPruner
Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
☆22Updated 3 years ago
Alternatives and similar repositories for EPruner:
Users that are interested in EPruner are comparing it to the libraries listed below
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆20Updated 4 years ago
- Code for RepNAS☆13Updated 3 years ago
- ProxylessNAS-Pytorch☆23Updated 5 years ago
- ☆16Updated 2 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 2 years ago
- ☆17Updated 2 years ago
- ☆19Updated last year
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 4 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- ☆30Updated 3 years ago
- This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothin…☆26Updated 2 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 3 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated last year
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- The implementation of GOLD_NAS☆23Updated 4 years ago
- ☆19Updated 4 years ago
- ☆35Updated 4 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated last year
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 2 years ago
- ☆28Updated 4 years ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 5 years ago
- PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models☆25Updated 2 years ago
- ☆13Updated 3 years ago
- Batch Normalization Auto-fusion for PyTorch☆32Updated 4 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆63Updated 3 years ago