ChanChiChoi / awesome-model-compression
papers about model compression
☆164Updated last year
Related projects: ⓘ
- Papers for deep neural network compression and acceleration☆394Updated 3 years ago
- Network acceleration methods☆177Updated 3 years ago
- Repository to track the progress in model compression and acceleration☆103Updated 3 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆174Updated last year
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆81Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆274Updated 9 months ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆176Updated 4 years ago
- a list of awesome papers on deep model ompression and acceleration☆346Updated 3 years ago
- alibabacloud-quantization-networks☆121Updated 4 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Updated 4 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆156Updated 4 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆169Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆194Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆428Updated 9 months ago
- ☆66Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆113Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆329Updated last month
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆154Updated 2 months ago
- ☆212Updated 5 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆310Updated 4 years ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆178Updated last year
- ☆143Updated this week
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆304Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆165Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆376Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆256Updated 11 months ago
- Hands-on Tutorial on Automated Deep Learning☆148Updated 4 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆76Updated 5 years ago