AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
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Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
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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.
Stars: ✭ 138 (-90.11%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-97.63%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-91.4%)
Gan steerabilityOn the "steerability" of generative adversarial networks
Stars: ✭ 225 (-83.87%)
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
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Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
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CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
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A Nice McCode for "A-NICE-MC: Adversarial Training for MCMC"
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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Keras AcganAuxiliary Classifier Generative Adversarial Networks in Keras
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Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
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BicycleGAN-pytorchPytorch implementation of BicycleGAN with implementation details
Stars: ✭ 99 (-92.9%)
NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
Stars: ✭ 152 (-89.1%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
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GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
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Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
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Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
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Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
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CocosnetCross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
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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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Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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DraganA stable algorithm for GAN training
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Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
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BicycleGANTensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
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TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (-97.99%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Simgan CaptchaSolve captcha without manually labeling a training set
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Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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SdvSynthetic Data Generation for tabular, relational and time series data.
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Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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PorousmediaganReconstruction of three-dimensional porous media using generative adversarial neural networks
Stars: ✭ 94 (-93.26%)
Gen QuickstartDocker file for building Gen and Jupyter notebooks for tutorials and case studies
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Bert Loves Chemistrybert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
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Ec2 Spot WorkshopsCollection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/
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CenpyExplore and download data from Census APIs
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Nlp essentialsEssential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies
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FmaFMA: A Dataset For Music Analysis
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