taivu1998 / ResNet-Regularization-PruningLinks
An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.
☆17Updated 5 years ago
Alternatives and similar repositories for ResNet-Regularization-Pruning
Users that are interested in ResNet-Regularization-Pruning are comparing it to the libraries listed below
Sorting:
- Dynamic Channel Pruning: Feature Boosting and Suppression☆18Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 7 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated last week
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆83Updated 3 years ago
- ☆19Updated 5 years ago
- ☆47Updated 6 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 7 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & …☆20Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 3 years ago
- A PyTorch Implementation of Feature Boosting and Suppression☆18Updated 5 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 7 years ago
- Pytorch implementation of channel pruning and AMC☆32Updated 6 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Unofficial Pytorch implementation of Deep Compression in CIFAR10☆35Updated 4 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆25Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- ProxylessNAS-Pytorch☆24Updated 6 years ago