deathboydmi / DynamicChannelPruningLinks
Dynamic Channel Pruning: Feature Boosting and Suppression
☆18Updated 6 years ago
Alternatives and similar repositories for DynamicChannelPruning
Users that are interested in DynamicChannelPruning are comparing it to the libraries listed below
Sorting:
- ☆19Updated 5 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆17Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 3 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 5 years ago
- ☆47Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago
- Codes of Centripetal SGD☆64Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 5 years ago
- Implementation for NAT.☆58Updated 6 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 3 years ago
- Pytorch implementation of TRP☆44Updated 5 years ago
- PyTorch Implementation of AutoPruner☆23Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 7 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.☆245Updated 4 years ago
- ☆35Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆75Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 6 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- ☆47Updated 6 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 5 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago