• GANSim

  • Referenced in 4 articles [sw40967]
  • improved progressive growing of generative adversarial networks (GANs). Conditional facies modeling combines geological spatial patterns ... resources. Recently, researchers have used generative adversarial networks (GANs) for conditional facies modeling, where ... original GAN’s loss function, then appropriate latent vectors are searched to generate facies models...
  • MaskGAN

  • Referenced in 3 articles [sw31828]
  • improve sample quality using Generative Adversarial Networks (GANs), which explicitly train the generator to produce...
  • MolGAN

  • Referenced in 3 articles [sw36059]
  • based methods. Our method adapts generative adversarial networks (GANs) to operate directly on graph-structured ... reinforcement learning objective to encourage the generation of molecules with specific desired chemical properties...
  • GAN Lab

  • Referenced in 2 articles [sw27149]
  • simpler models. In this work, we present GAN Lab, the first interactive visualization tool designed ... learn and experiment with Generative Adversarial Networks (GANs), a popular class of complex deep learning ... With GAN Lab, users can interactively train generative models and visualize the dynamic training process...
  • Keras-GAN

  • Referenced in 1 article [sw32552]
  • Collection of Keras implementations of Generative Adversarial Networks (GANs) suggested in research papers. These models...
  • MidiNet

  • Referenced in 1 article [sw36061]
  • melodies, making it a generative adversarial network (GAN). Moreover, we propose a novel conditional mechanism ... prior knowledge, so that the model can generate melodies either from scratch, by following...
  • DijetGAN

  • Referenced in 1 article [sw38858]
  • Events at the LHC. A Generative-Adversarial Network (GAN) based on convolutional neural networks ... GAN is trained on events generated using MadGraph5 + Pythia8, and Delphes3 fast detector simulation...
  • HexaGAN

  • Referenced in 1 article [sw27773]
  • paper, we propose HexaGAN, a generative adversarial network (GAN) framework that shows good classification performance...
  • Social GAN

  • Referenced in 2 articles [sw39577]
  • Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. Understanding human motion behavior is critical...
  • CovidGAN

  • Referenced in 1 article [sw41862]
  • CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection. Coronavirus (COVID ... strongly optimistic. Deep learning networks like convolutional neural networks (CNNs) need a substantial amount ... generate synthetic chest X-ray (CXR) images by developing an Auxiliary Classifier Generative Adversarial Network...
  • LSTM

  • Referenced in 30 articles [sw03373]
  • The human brain is a recurrent neural network...
  • UCI-ml

  • Referenced in 3403 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • FEniCS

  • Referenced in 840 articles [sw04314]
  • The FEniCS Project is a collaborative project for...
  • Torch

  • Referenced in 40 articles [sw05407]
  • Torch is a machine learning library written in...
  • Theano

  • Referenced in 95 articles [sw05894]
  • Theano is a Python library that allows you...
  • Scikit

  • Referenced in 611 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn...
  • Pegasos

  • Referenced in 103 articles [sw08752]
  • Pegasos: primal estimated sub-gradient solver for SVM...
  • MICE

  • Referenced in 163 articles [sw09315]
  • R package mice: Multivariate Imputation by Chained Equations...
  • MNIST

  • Referenced in 289 articles [sw12859]
  • THE MNIST DATABASE of handwritten digits. The MNIST...
  • word2vec

  • Referenced in 205 articles [sw14978]
  • This tool provides an efficient implementation of the...