Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Stars: ✭ 123 (+485.71%)
Mutual labels: generative-adversarial-network, tensorflow-models
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (+0%)
Mutual labels: generative-adversarial-network, tensorflow-models
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+985.71%)
Mutual labels: generative-adversarial-network, tensorflow-models
Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (+2304.76%)
Mutual labels: generative-adversarial-network, tensorflow-models
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+261.9%)
Mutual labels: generative-adversarial-network, tensorflow-models
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Stars: ✭ 110 (+423.81%)
Mutual labels: generative-adversarial-network
pytorch-CycleGANPytorch implementation of CycleGAN.
Stars: ✭ 39 (+85.71%)
Mutual labels: generative-adversarial-network
gan-vae-pretrained-pytorchPretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Stars: ✭ 134 (+538.1%)
Mutual labels: generative-adversarial-network
MAX-Text-SummarizerGenerate a summarized description of a body of text
Stars: ✭ 27 (+28.57%)
Mutual labels: tensorflow-models
entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
Stars: ✭ 58 (+176.19%)
Mutual labels: tensorflow-models
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (+19.05%)
Mutual labels: generative-adversarial-network
adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Stars: ✭ 110 (+423.81%)
Mutual labels: generative-adversarial-network
CharacterGANCharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
Stars: ✭ 172 (+719.05%)
Mutual labels: generative-adversarial-network
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (+100%)
Mutual labels: generative-adversarial-network
AdversarialBinaryCoding4ReIDCodes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
Stars: ✭ 12 (-42.86%)
Mutual labels: generative-adversarial-network
icml17 knnDeriving Neural Architectures from Sequence and Graph Kernels
Stars: ✭ 59 (+180.95%)
Mutual labels: tensorflow-models
Wasserstein2GenerativeNetworksPyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Stars: ✭ 38 (+80.95%)
Mutual labels: generative-adversarial-network
ArtGANTensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
Stars: ✭ 16 (-23.81%)
Mutual labels: generative-adversarial-network
TF-Model-Deploy-TutorialA tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
Stars: ✭ 51 (+142.86%)
Mutual labels: tensorflow-models
Music-generation-cRNN-GANcRNN-GAN to generate music by training on instrumental music (midi)
Stars: ✭ 38 (+80.95%)
Mutual labels: generative-adversarial-network