ShaohuiLin / GALLinks
PyTorch implementation for GAL.
☆56Updated 5 years ago
Alternatives and similar repositories for GAL
Users that are interested in GAL are comparing it to the libraries listed below
Sorting:
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year
- Codes of Centripetal SGD☆63Updated 2 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- ☆25Updated 6 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- ☆38Updated 6 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆76Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- ☆48Updated 5 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Tools for computing model parameters and FLOPs.☆87Updated 6 years ago
- Implementation with latest PyTorch (v1.1) for multi-gpu DARTS https://arxiv.org/abs/1806.09055☆83Updated 5 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- Code for AutoNL on ImageNet (CVPR2020)☆105Updated 5 years ago
- PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data☆23Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Implementation for NAT.☆58Updated 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
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 6 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆41Updated 3 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19☆33Updated 5 years ago
- ☆120Updated 5 years ago
- ☆40Updated 5 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆50Updated 3 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago