SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Classification modelsClassification models trained on ImageNet. Keras.
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ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
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Ssds.pytorchRepository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
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Ai papersAI Papers
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Vgg19 with tensorflowAn easy implement of VGG19 with tensorflow, which has a detailed explanation.
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ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
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X Ray ClassificationX-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
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Neural Style本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。
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TensorrtxImplementation of popular deep learning networks with TensorRT network definition API
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Vgg16 PytorchVGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
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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
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Chainer Cifar10Various CNN models for CIFAR10 with Chainer
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notebooksA docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
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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.
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Mutual labels: vgg
