WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (+20%)
Mutual labels: generative-adversarial-network, wgan-gp
progressive growing of GANsPure tensorflow implementation of progressive growing of GANs
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Mutual labels: generative-adversarial-network, wgan-gp
WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
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Mutual labels: generative-adversarial-network, wgan-gp
Chainer Gan LibChainer implementation of recent GAN variants
Stars: ✭ 386 (+1002.86%)
Mutual labels: generative-adversarial-network, wgan-gp
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 (+374.29%)
Mutual labels: generative-adversarial-network, wgan-gp
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (+1571.43%)
Mutual labels: generative-adversarial-network, wgan-gp
SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Stars: ✭ 118 (+237.14%)
Mutual labels: generative-adversarial-network
publications-arruda-ijcnn-2019Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Stars: ✭ 59 (+68.57%)
Mutual labels: generative-adversarial-network
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 (-28.57%)
Mutual labels: speech-enhancement
SpleeterRTReal time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Stars: ✭ 111 (+217.14%)
Mutual labels: speech-enhancement
deepbeamDeep learning based Speech Beamforming
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Mutual labels: speech-enhancement
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+4537.14%)
Mutual labels: generative-adversarial-network
torchsubbandPytorch implementation of subband decomposition
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Mutual labels: speech-enhancement
WGAN GPKeras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
Stars: ✭ 16 (-54.29%)
Mutual labels: wgan-gp
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 (+157.14%)
Mutual labels: generative-adversarial-network
Speech Enhancement MMSE-STSAA statistical model-based Speech Enhancement Using MMSE-STSA
Stars: ✭ 54 (+54.29%)
Mutual labels: speech-enhancement
market risk gan tensorflowUsing Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
Stars: ✭ 63 (+80%)
Mutual labels: generative-adversarial-network
