progressive growing of GANsPure tensorflow implementation of progressive growing of GANs
Stars: ✭ 31 (-53.73%)
Mutual labels: generative-adversarial-network, wasserstein-gan
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Stars: ✭ 44 (-34.33%)
Mutual labels: generative-adversarial-network, wasserstein-gan
progressive-growing-of-gans.pytorchUnofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Stars: ✭ 51 (-23.88%)
Mutual labels: generative-adversarial-network, wasserstein-gan
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
Stars: ✭ 161 (+140.3%)
Mutual labels: wasserstein-gan, gradient-penalty
gan-qp.pytorchUnofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
Stars: ✭ 26 (-61.19%)
Mutual labels: generative-adversarial-network
keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-70.15%)
Mutual labels: generative-adversarial-network
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-79.1%)
Mutual labels: generative-adversarial-network
gan-weightnorm-resnetGenerative Adversarial Network with Weight Normalization + ResNet
Stars: ✭ 19 (-71.64%)
Mutual labels: generative-adversarial-network
RecycleGANThe simplest implementation toward the idea of Re-cycle GAN
Stars: ✭ 68 (+1.49%)
Mutual labels: generative-adversarial-network
private-data-generationA toolbox for differentially private data generation
Stars: ✭ 80 (+19.4%)
Mutual labels: generative-adversarial-network
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-25.37%)
Mutual labels: generative-adversarial-network
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-68.66%)
Mutual labels: generative-adversarial-network
ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (-46.27%)
Mutual labels: generative-adversarial-network
GAN-Ensemble-for-Anomaly-DetectionThis repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
Stars: ✭ 26 (-61.19%)
Mutual labels: generative-adversarial-network
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (-20.9%)
Mutual labels: generative-adversarial-network
MNIST-invert-colorInvert the color of MNIST images with PyTorch
Stars: ✭ 13 (-80.6%)
Mutual labels: generative-adversarial-network
celeba-gan-pytorchGenerative Adversarial Networks in PyTorch
Stars: ✭ 35 (-47.76%)
Mutual labels: generative-adversarial-network
tt-vae-ganTimbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Stars: ✭ 37 (-44.78%)
Mutual labels: generative-adversarial-network
projectsthings I help(ed) to build
Stars: ✭ 47 (-29.85%)
Mutual labels: generative-adversarial-network
