csyhhu / L-DNQLinks
Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
☆41Updated 6 years ago
Alternatives and similar repositories for L-DNQ
Users that are interested in L-DNQ are comparing it to the libraries listed below
Sorting:
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- ☆35Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 7 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆57Updated 7 years ago
- ☆47Updated 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
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 3 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- ☆45Updated 6 years ago
- ☆57Updated 4 years ago
- ☆28Updated 5 years ago
- Pytorch implementation of TRP☆45Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- ☆47Updated 5 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆34Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- Proximal Mean-field for Neural Network Quantization☆21Updated 5 years ago
- ☆46Updated 6 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 6 years ago
- ProxylessNAS-Pytorch☆23Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 3 years ago