Simgan CaptchaSolve captcha without manually labeling a training set
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T2fT2F: text to face generation using Deep Learning
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Textgan PytorchTextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
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Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
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Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
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Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
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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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Awesome GansAwesome Generative Adversarial Networks with tensorflow
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Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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IganInteractive Image Generation via Generative Adversarial Networks
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Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
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Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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MuseganAn AI for Music Generation
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Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
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Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
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MmeditingOpenMMLab Image and Video Editing Toolbox
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Pytorch FidCompute FID scores with PyTorch.
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Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
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GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
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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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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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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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Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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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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FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
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Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
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WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
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Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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P2palaPage to PAGE Layout Analysis Tool
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Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
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Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
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FrontalizationPytorch deep learning face frontalization model
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Hccg CycleganHandwritten Chinese Characters Generation
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Anime2SketchA sketch extractor for anime/illustration.
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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ArtganArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
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Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
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DraganA stable algorithm for GAN training
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Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
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Gan steerabilityOn the "steerability" of generative adversarial networks
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FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
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Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
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AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
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