mit-han-lab / amcLinks
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
☆443Updated last year
Alternatives and similar repositories for amc
Users that are interested in amc are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆391Updated 4 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆381Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 5 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- Summary, Code for Deep Neural Network Quantization☆551Updated last month
- Quantization of Convolutional Neural networks.☆244Updated 11 months ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆923Updated 2 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆308Updated 2 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- Papers for deep neural network compression and acceleration☆400Updated 4 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆569Updated 6 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆255Updated 4 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- ☆668Updated 3 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆882Updated 6 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆912Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆151Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆948Updated 3 months ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆574Updated 6 years ago