deep learning model compression with pruning
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Updated
Jul 18, 2023 - Python
deep learning model compression with pruning
Channel pruning on YOLOv3-TINY
Compact image style transfer with channel and xor losses
[ICCV 2017] Learning Efficient Convolutional Networks through Network Slimming
This repo shows some code about the pruning strategy in the paper "A Channel-level Pruning Strategy for Convolutional Neural Networks". https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Single shot object detection in PyTorch
对人像抠图模型MODNet进行滤波器级别的剪枝,结合自适应与固定比例策略。
Official PyTorch implementation of "Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning" (Asian Conference on Computer Vision 2022)
Code for "Characterising Across Stack Optimisations for Deep Convolutional Neural Networks"
An re-implementation of resnet18 network slimming
ChainerPruner: Channel Pruning framework for Chainer
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.
Official repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"
An implementation of Channel Pruning on face recognition algorithm Sphereface.
A PyTorch Implementation of Feature Boosting and Suppression
Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
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