HisdOfficial pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
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Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
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PhpprojectA pure PHP library for reading and writing project management files
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ImpersonatorPyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
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Unet Stylegan2A Pytorch implementation of Stylegan2 with UNet Discriminator
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Data Augmentation ReviewList of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
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Dr Gan By PytorchAn implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
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TpudcganTrain DCGAN with TPUs on Google Cloud
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SketchyganCode for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"
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Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
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PokeganCreats new kinds of pokemons using WGAN!
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Gail TfTensorflow implementation of generative adversarial imitation learning
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AdversarialnetspapersAwesome paper list with code about generative adversarial nets
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Keras DcganKeras implementation of Deep Convolutional Generative Adversarial Networks
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Textsum GanTensorflow re-implementation of GAN for text summarization
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NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
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Person Reid Gan PytorchA Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
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Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
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Vc With GanVoice Conversion with GANs
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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Gretel SyntheticsDifferentially private learning to create fake, synthetic datasets with enhanced privacy guarantees
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FaganA variant of the Self Attention GAN named: FAGAN (Full Attention GAN)
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Nmt gangenerative adversarial nets for neural machine translation
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IsketchnfillSoftware that can autocomplete sketches as the user starts drawing.
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Nag[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
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Adversarial textCode for Adversarial Training Methods for Semi-Supervised Text Classification
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CatdcganA DCGAN that generate Cat pictures 🐱💻
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NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
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Delving Deep Into GansGenerative Adversarial Networks (GANs) resources sorted by citations
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Photo2cartoon人像卡通化探索项目 (photo-to-cartoon translation project)
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Text To ImageText to image synthesis using thought vectors
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TbganProject Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
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Pix2pixbegan.pytorchA pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)
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DmmDeep Markov Models
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DeliganThis project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
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Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
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MunitMultimodal Unsupervised Image-to-Image Translation
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Adversarial video summaryUnofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
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Art DcganModified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
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GiqaPytorch implementation of Generated Image Quality Assessment
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TganGenerative adversarial training for generating synthetic tabular data.
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