Awesome GansAwesome Generative Adversarial Networks with tensorflow
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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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WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
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coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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MMD-GANImproving MMD-GAN training with repulsive loss function
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Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
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gan-qp.pytorchUnofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
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GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
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TadGANCode for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
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Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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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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Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
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skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
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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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ganGenerate new images with Generative Adversarial Network and Tensorflow.
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Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
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TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
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speech-enhancement-WGANspeech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
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market risk gan tensorflowUsing Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
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JsonKnownTypesSimple way to serialize and deserialize polymorphic types for Json.NET
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Pytorch-Basic-GANsSimple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
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MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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Torch-ScopeA Toolkit for Training, Tracking, Saving Models and Syncing Results
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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binaryganCode for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
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ElegantELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
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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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sinkhorn-label-allocationSinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
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Awesome TensorlayerA curated list of dedicated resources and applications
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CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
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Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
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alphaGANA PyTorch implementation of alpha-GAN
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Tf SndcganTensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
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The Gan WorldEverything about Generative Adversarial Networks
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SMILESMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
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HashGANHashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
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mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
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SganStacked Generative Adversarial Networks
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FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
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GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
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FAST-RIRThis is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
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Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
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WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
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Gan steerabilityOn the "steerability" of generative adversarial networks
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