141 skills found · Page 1 of 5
Cadene / Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
weiaicunzai / Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
jfzhang95 / Pytorch Deeplab XceptionDeepLab v3+ model in PyTorch. Support different backbones.
qubvel / Classification ModelsClassification models trained on ImageNet. Keras.
GoogleCloudPlatform / Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
LikeLy-Journey / SegmenTronSupport PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
ypwhs / Dogs Vs Cats猫狗大战
YudeWang / Deeplabv3plus PytorchHere is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
tslgithub / Image Class基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
alexandonian / Pretorched XPretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.
tstandley / Xception PyTorchA PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions
HLearning / AI PapersAI Papers
Epsilon123 / Semantic Segmentation Of Remote Sensing Images遥感图像的语义分割,分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型,keras+python
kwotsin / TensorFlow XceptionTensorFlow implementation of the Xception Model by François Chollet
kaushikjadhav01 / COVID 19 Detection Flask App Based On Chest X Rays And CT ScansCOVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
NadavIs56 / Skin Disease AIA Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
ashishpatel26 / Satellite Image Semantic Segmentation Unet Tensorflow KerasCollection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
songdejia / DeepLab V3 PlusThis is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
cpgeier / SantosNetA simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV
AmrElsersy / Emotions RecognitionPytorch implementation of "Real-time Convolutional Neural Networks for Emotion and Gender Classification" (mini-Xception)