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PyTorch implementation of PNASNet-5 on ImageNet
The main features of chenxi116/pnasnet.pytorch are: Computer Vision Models, Image Classification Architectures.
Projects with overlapping indexed features include: xternalz/wideresnet-pytorch — Wide Residual Networks (WideResNets) in PyTorch. prlz77/resnext.pytorch — Reproduces ResNet-V3 with pytorch. bamos/densenet.pytorch — A PyTorch implementation of DenseNet. dyhan0920/pyramidnet-pytorch — A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915). keras-team/keras-applications — Reference implementations of popular deep learning models. cs230-stanford/cs230-code-examples — This repository provides structured code examples and project templates designed for classroom instruction in machine…
Reference implementations of popular deep learning models.
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)