Alternatives and similar repositories for Multi-Agent-Diverse-Generative-Adversarial-Networks

Users that are interested in Multi-Agent-Diverse-Generative-Adversarial-Networks are comparing it to the libraries listed below

• omerbsezer / Generative_Models_Tutorial_with_Demo
  Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs),…
  ☆339Updated 6 years ago
• qhoangdl / MGAN
  Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators
  ☆39Updated 6 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• WANG-Chaoyue / EvolutionaryGAN-pytorch
  The author's officially unofficial Pytorch EvolutionaryGAN implementation.
  ☆67Updated 5 years ago
• changwoolee / WGAN-GP-tensorflow
  Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
  ☆24Updated 7 years ago
• WANG-Chaoyue / EvolutionaryGAN
  Evolutionary Generative Adversarial Networks (E-GAN)
  ☆76Updated 6 years ago
• msurtsukov / generative-models-collection
  PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN
  ☆38Updated 6 years ago
• malzantot / Pytorch-conditional-GANs
  Implementation of Conditional Generative Adversarial Networks in PyTorch
  ☆107Updated 7 years ago
• ChengBinJin / WGAN-TensorFlow
  Wasserstein GAN TensorFlow Implementation
  ☆45Updated 5 years ago
• voletiv / self-attention-GAN-pytorch
  This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.
  ☆173Updated last year
• amitadate / S-LSTM-GAN-MNIST
  This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
  ☆89Updated 6 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆82Updated last year
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆84Updated 6 years ago
• kshmelkov / gan_evaluation
  Code release for paper "How good is my GAN?"
  ☆12Updated 6 years ago
• usc599resl / mlgm
  Meta learning for generative models.
  ☆16Updated 6 years ago
• KangBK0120 / D2GAN
  Double Discriminator GAN
  ☆24Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• dragen1860 / pytorch-mnist-vae
  Pytorch Implementation of variational auto-encoder for MNIST
  ☆62Updated 6 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆57Updated 6 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆66Updated 5 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 7 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆81Updated 7 years ago
• 9310gaurav / ali-pytorch
  PyTorch implementation of Adversarially Learned Inference (BiGAN).
  ☆80Updated 7 years ago
• maple-research-lab / glsgan-gp
  Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as …
  ☆30Updated 7 years ago
• andrewliao11 / unrolled-gans
  PyTorch Implementation of Unrolled Generative Adversarial Networks
  ☆40Updated 7 years ago
• chaitanya100100 / VAE-for-Image-Generation
  Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…
  ☆122Updated 6 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆153Updated 5 years ago
• ChengBinJin / WGAN-GP-tensorflow
  WGAN-GP tensorflow implementation
  ☆72Updated 2 years ago
• IBM / BAGAN
  Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.
  ☆109Updated 4 years ago