The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet
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Implementation of Paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"(https://arxiv.org/abs/1609.04802) in PyTorch Usage Training usage: main_srresnet.py [-h] [--batchSize BATCHSIZE] [--nEpochs NEPOCHS] [--lr LR] [--step STEP] [--cuda] [--...
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py https://github.com/AladdinPerzon/Machine-Learning-Collection/blob/master/ML/Pytorch/CNN_architectures/pytorch_resnet.py Releases No releases published
ThanksA PyTorch implementation of DenseNet. ResNet paper results: ResNet20: Test set: Average loss: 0.2578, Error: 720/10000 (7%) ResNet56: Test set: Average loss: 0.2715, Error: 568/10000 (6%) ResNetXt29: Test set: Average loss: 0.1428, Error: 372/10000 (4%) ...
master BranchesTags pytorch_resnet/resnetxt.py/ Jump to Cannot retrieve contributors at this time 136 lines (120 sloc)5.55 KB RawBlame # -*- coding: utf-8 -*- from__future__importdivision """ Creates a ResNeXt Model as defined in: ...
Note that this code can be used to train pytorch-deeplab-resnet model for other datasets also. Acknowledgement A part of the code has been borrowed fromhttps://github.com/ry/tensorflow-resnet. Languages Python100.0%
However, TResNet is now an integral part of the popularrwightman / pytorch-image-modelsrepo. Using that repo, you can reach very similar results to the one stated in the article. For example, training tresnet_m onrwightman / pytorch-image-modelswith the command line: ...
git clone https://github.com/yczhang1017/SSD_resnet_pytorch.git#navigate to the home directory of SSD model, dataset will be downloaded into data foldercdSSD_resnet_pytorch#specify a directory for dataset to be downloaded into, else default is ~/data/sh data/scripts/VOC2007.sh#<directory>...
DeepLab-ResNet-Pytorch New! We have released Pytorch-Segmentation-Toolbox which contains PyTorch Implementations for DeeplabV3 and PSPNet with Better Reproduced Performance on cityscapes. This is an (re-)implementation of DeepLab-ResNet in Pytorch for semantic image segmentation on the PASCAL VOC datas...