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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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Fashion MnistA MNIST-like fashion product database. Benchmark 👇
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Face GeneratorGenerate human faces with neural networks
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ApdrawingganCode for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
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Anonymize VideoReplace faces in a video with imaginary persons generated by a progressive GAN deep neural network
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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Synthetic2realisticECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
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Pix2pix FilmAn implementation of Pix2Pix in Tensorflow for use with frames from films
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DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
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Tensorflow Mnist CnnMNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
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LookatmeVideoView that plays video only when 👀 are open and 👦 is detected with various other features
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TdtouchidTDTouchID是一个封装好的指纹、FaceID验证库,可以用来做iOSAPP的登录/支付等验证。
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PhpprojectA pure PHP library for reading and writing project management files
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FrontalizationPytorch deep learning face frontalization model
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Cyclegan Vc2Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
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DeblurganImage Deblurring using Generative Adversarial Networks
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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VocganVocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
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CartoonifyDeploy and scale serverless machine learning app - in 4 steps.
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PsfrganPyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"
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StoryganStoryGAN: A Sequential Conditional GAN for Story Visualization
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CatdcganA DCGAN that generate Cat pictures 🐱💻
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HisdOfficial pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
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FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
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ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
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FbrecogAn unofficial python wrapper for the Facebook face recognition endpoint
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