Pinned Repositories
CARS
Pytorch code for paper: CARS: Continuous Evolution for Efficient Neural Architecture Search
DAFL
A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).
Full-Stack-Filters
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
GAN-pruning
A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).
ghostnet
Pytorch code for paper: "GhostNet: More Features from Cheap Operations"
HomePage
Yunhe Wang's HomePage
IntelligentOptimizationAlgorithms
This repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm), PSO (Particle Swarm Optimizer) and so on. And some other algorithms will be appended in the future.
LegoNet
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
RedCNN
VanillaNet
YunheWang's Repositories
YunheWang/HomePage
Yunhe Wang's HomePage
YunheWang/RedCNN
YunheWang/CARS
Pytorch code for paper: CARS: Continuous Evolution for Efficient Neural Architecture Search
YunheWang/DAFL
A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).
YunheWang/Full-Stack-Filters
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
YunheWang/GAN-pruning
A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).
YunheWang/ghostnet
Pytorch code for paper: "GhostNet: More Features from Cheap Operations"
YunheWang/IntelligentOptimizationAlgorithms
This repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm), PSO (Particle Swarm Optimizer) and so on. And some other algorithms will be appended in the future.
YunheWang/LegoNet
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
YunheWang/VanillaNet
YunheWang/Versatile-Filters
Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)