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Cifar 10 CnnPlay deep learning with CIFAR datasets
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Mutual labels: mnist, cifar10
Cifar-AutoencoderA look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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Mutual labels: mnist, cifar10
PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
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Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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DenseNet-Cifar10Train DenseNet on Cifar-10 based on Keras
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Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
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Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
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NnpulearningNon-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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MNIST-adversarial-imagesCreate adversarial images to fool a MNIST classifier in TensorFlow
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Mutual labels: mnist
