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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Theano Xnor NetTheano implementation of XNOR-Net
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deeplearning-mpoReplace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
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Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
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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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Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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Cifar-AutoencoderA look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
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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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LeNet-from-ScratchImplementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
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Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
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pcdarts-tf2PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
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BP-NetworkMulti-Classification on dataset of MNIST
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
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DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
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Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
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