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tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
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Deep Generative ModelsDeep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)
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digdetA realtime digit OCR on the browser using Machine Learning
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KeractLayers Outputs and Gradients in Keras. Made easy.
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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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KerasMNISTKeras MNIST for Handwriting Detection
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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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Medmnist[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
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digitRecognitionImplementation of a digit recognition using my Neural Network with the MNIST data set.
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Mnist drawThis is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
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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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Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
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MNIST-KerasUsing various CNN techniques on the MNIST dataset
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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vat nmtImplementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
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mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
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digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
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Generative ModelsComparison of Generative Models in Tensorflow
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playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
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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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Awesome TensorlayerA curated list of dedicated resources and applications
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