JiahuiYu / slimmable_networksLinks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
☆925Updated 2 years ago
Alternatives and similar repositories for slimmable_networks
Users that are interested in slimmable_networks are comparing it to the libraries listed below
Sorting:
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆444Updated last year
- Network Slimming (Pytorch) (ICCV 2017)☆914Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆383Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 5 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆884Updated 6 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 5 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆364Updated 5 years ago
- Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network …☆243Updated 4 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆570Updated 6 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆575Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- NAS-Bench-201 API and Instruction☆638Updated 4 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆418Updated 5 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆255Updated 4 years ago
- Mobile vision models and code☆914Updated last week
- ☆263Updated 5 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Updated last year
- ☆668Updated 4 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,084Updated last year
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆885Updated 5 years ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆713Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Updated 2 years ago
- ConvNet training using pytorch☆348Updated 4 years ago