Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
Stars: ✭ 66 (+112.9%)
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
Stars: ✭ 166 (+435.48%)
WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
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Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (+1787.1%)
Pytorch-Basic-GANsSimple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Stars: ✭ 101 (+225.81%)
Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (-25.81%)
generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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speech-enhancement-WGANspeech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
Stars: ✭ 35 (+12.9%)
Unified Gan TensorflowA Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Stars: ✭ 93 (+200%)
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
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Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
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wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
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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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Gan TutorialSimple Implementation of many GAN models with PyTorch.
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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.
Stars: ✭ 43 (+38.71%)
TadGANCode for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
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Chainer Gan LibChainer implementation of recent GAN variants
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WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (+35.48%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (+1312.9%)
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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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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Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
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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
Stars: ✭ 31 (+0%)
mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Stars: ✭ 77 (+148.39%)
timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (+48.39%)
binaryganCode for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Stars: ✭ 118 (+280.65%)
ConvolutionaNeuralNetworksToEnhanceCodedSpeechIn this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…
Stars: ✭ 25 (-19.35%)
bmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
Stars: ✭ 58 (+87.1%)
text2image-benchmarkPerformance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)
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GAN-LTH[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
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WGAN GPKeras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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ganGenerate new images with Generative Adversarial Network and Tensorflow.
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MMD-GANImproving MMD-GAN training with repulsive loss function
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (+19.35%)
ElegantELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
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Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Stars: ✭ 242 (+680.65%)
Deep-FakesNo description or website provided.
Stars: ✭ 88 (+183.87%)
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
Stars: ✭ 59 (+90.32%)
HashGANHashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Stars: ✭ 63 (+103.23%)
Tf SndcganTensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
Stars: ✭ 245 (+690.32%)
The Gan WorldEverything about Generative Adversarial Networks
Stars: ✭ 243 (+683.87%)
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.
Stars: ✭ 90 (+190.32%)
AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Stars: ✭ 239 (+670.97%)