frankwang345 / pruning-from-scratch
☆19Updated 4 years ago
Alternatives and similar repositories for pruning-from-scratch:
Users that are interested in pruning-from-scratch are comparing it to the libraries listed below
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- Dynamic Channel Pruning: Feature Boosting and Suppression☆17Updated 5 years ago
- Codes of Centripetal SGD☆63Updated 2 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆59Updated 3 years ago
- [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection☆44Updated last year
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆144Updated 4 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆16Updated 4 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆24Updated 4 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 2 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- Towards Compact CNNs via Collaborative Compression☆11Updated 2 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 4 years ago
- An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map☆149Updated 3 years ago
- ☆30Updated 3 years ago
- PyTorch Implementation of AutoPruner☆22Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- ☆48Updated 5 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated last year
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated 2 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Updated 6 years ago
- ☆120Updated 4 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆23Updated 4 years ago
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning☆16Updated 6 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 4 years ago