mit-han-lab / amc-modelsLinks
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
☆168Updated 4 years ago
Alternatives and similar repositories for amc-models
Users that are interested in amc-models are comparing it to the libraries listed below
Sorting:
- Neural architecture search(NAS)☆14Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Updated 5 years ago
- Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Search…☆151Updated 5 years ago
- ☆46Updated 6 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- ☆88Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆243Updated 3 years ago
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆274Updated 7 years ago
- ☆213Updated 7 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 5 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆148Updated 7 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 7 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 7 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 5 years ago
- Implementation of NetAdapt☆30Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆141Updated last year
- alibabacloud-quantization-networks☆122Updated 6 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- ☆137Updated 7 years ago
- ☆39Updated 7 years ago
- ☆166Updated 2 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆232Updated 3 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- Multinomial Distribution Learning for Effective Neural Architecture Search☆208Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 6 years ago
- a list of awesome papers on deep model ompression and acceleration☆349Updated 4 years ago
- Code for IJCAI2019 paper☆46Updated 6 years ago