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ADL2019Applied Deep Learning (2019 Spring) @ NTU
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CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
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Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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Gan steerabilityOn the "steerability" of generative adversarial networks
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SdvSynthetic Data Generation for tabular, relational and time series data.
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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Simgan CaptchaSolve captcha without manually labeling a training set
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UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
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CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
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Pix2pixImage-to-image translation with conditional adversarial nets
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T2fT2F: text to face generation using Deep Learning
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SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
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Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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Anime InpaintingAn application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
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