infogan
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Collection of generative models in Tensorflow
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Aug 8, 2022 - Python
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
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Sep 8, 2017 - Python
Collection of generative models in Pytorch version.
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Apr 12, 2020 - Python
learn code with tensorflow
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May 17, 2019 - Python
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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Nov 19, 2018 - Jupyter Notebook
Simple Implementation of many GAN models with PyTorch.
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Feb 22, 2023 - Jupyter Notebook
PyTorch Implementation of InfoGAN
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Nov 5, 2022 - Python
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
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May 18, 2017 - Python
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
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Mar 22, 2023 - MATLAB
🎎 InfoGAN: Interpretable Representation Learning
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Apr 24, 2017 - Python
implement infoGAN using pytorch
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Oct 5, 2018 - Python
InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
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Jan 6, 2017 - Python
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
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Jan 15, 2021 - Python
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
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May 5, 2023 - Python
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
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Sep 6, 2024 - Python
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
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Dec 19, 2021 - Jupyter Notebook
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
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Dec 18, 2019 - Python
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