MmeditingOpenMMLab Image and Video Editing Toolbox
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SimganImplementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
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hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+3541.67%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
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Chainer Gan LibChainer implementation of recent GAN variants
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
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Recycle GanUnsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)
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gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
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SdvSynthetic Data Generation for tabular, relational and time series data.
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Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
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GanfitProject Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
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mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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TF2-GAN🐳 GAN implemented as Tensorflow 2.X
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
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GeneganGeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
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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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CtganConditional GAN for generating synthetic tabular data.
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Pytorch Mnist Celeba Cgan CdcganPytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
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BPPNet-Back-Projected-Pyramid-NetworkThis is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"
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DcganThe Simplest DCGAN Implementation
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Alae[CVPR2020] Adversarial Latent Autoencoders
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
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UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Stars: ✭ 139 (+479.17%)
TextboxTextBox is an open-source library for building text generation system.
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UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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TadGANCode for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
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Deep-Unsupervised-Domain-AdaptationPytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.
Stars: ✭ 50 (+108.33%)
RecycleGANThe simplest implementation toward the idea of Re-cycle GAN
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FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
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Dagan The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
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ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (+50%)
DAOSLImplementation of Domain Adaption in One-Shot Learning
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DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
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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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3d conditional ganThe codes of VAE-GAN model for 3d shape reconstruction from depth data
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stylegan-encoderStyleGAN Encoder - converts real images to latent space
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WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
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AGD[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
Stars: ✭ 98 (+308.33%)
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
Stars: ✭ 44 (+83.33%)
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (-20.83%)