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GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
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text2paintingConvert text into beautiful artistic images
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All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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The Gan WorldEverything about Generative Adversarial Networks
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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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PiqMeasures and metrics for image2image tasks. PyTorch.
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AshpyTensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Nmt gangenerative adversarial nets for neural machine translation
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SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Nlpgnn1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
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Warpgan(CVPR 2019 Oral) Style Transfer with Geometric Deformation
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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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PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
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Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
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SinganPytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
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ArteditingModeling Artistic Workflows for Image Generation and Editing (ECCV 2020)
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Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
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Bmsg Gan[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
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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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ExermoteUsing Machine Learning to predict the type of exercise from movement data
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Mman( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing
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ApdrawingganCode for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
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Photo2cartoon人像卡通化探索项目 (photo-to-cartoon translation project)
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Cycle Gan TfReimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.
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Gluon CvGluon CV Toolkit
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Faceswap pytorchDeep fake ready to train on any 2 pair dataset with higher resolution
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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.
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Text To ImageGenerative Adversarial Text to Image Synthesis / Please Star -->
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DraganA stable algorithm for GAN training
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Gan VisVisualization of GAN training process
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Deep Learning Book《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Deblur GanKeras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
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Glcic PytorchA High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
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Vae Gan TensorflowTensorflow code of "autoencoding beyond pixels using a learned similarity metric"
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Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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EigenGAN-TensorflowEigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
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