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Title: GitHub - informatrix/generative-models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. · GitHub

Open Graph Title: GitHub - informatrix/generative-models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

X Title: GitHub - informatrix/generative-models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Description: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. - informatrix/generative-models

Open Graph Description: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. - informatrix/generative-models

X Description: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. - informatrix/generative-models

Opengraph URL: https://github.com/informatrix/generative-models

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GAN	https://github.com/informatrix/generative-models/tree/master/GAN
GAN	https://github.com/informatrix/generative-models/tree/master/GAN
VAE	https://github.com/informatrix/generative-models/tree/master/VAE
VAE	https://github.com/informatrix/generative-models/tree/master/VAE
.gitignore	https://github.com/informatrix/generative-models/blob/master/.gitignore
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LICENSE	https://github.com/informatrix/generative-models/blob/master/LICENSE
LICENSE	https://github.com/informatrix/generative-models/blob/master/LICENSE
README.md	https://github.com/informatrix/generative-models/blob/master/README.md
README.md	https://github.com/informatrix/generative-models/blob/master/README.md
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environment.yml	https://github.com/informatrix/generative-models/blob/master/environment.yml
README	https://github.com/informatrix/generative-models
Unlicense license	https://github.com/informatrix/generative-models
	https://github.com/informatrix/generative-models#generative-models
	https://github.com/informatrix/generative-models#note
	https://github.com/informatrix/generative-models#whats-in-it
	https://github.com/informatrix/generative-models#generative-adversarial-nets-gan
Vanilla GAN	https://arxiv.org/abs/1406.2661
Conditional GAN	https://arxiv.org/abs/1411.1784
InfoGAN	https://arxiv.org/abs/1606.03657
Wasserstein GAN	https://arxiv.org/abs/1701.07875
Mode Regularized GAN	https://arxiv.org/abs/1612.02136
Coupled GAN	https://arxiv.org/abs/1606.07536
Auxiliary Classifier GAN	https://arxiv.org/abs/1610.09585
Least Squares GAN	https://arxiv.org/abs/1611.04076v2
Boundary Seeking GAN	https://arxiv.org/abs/1702.08431
Energy Based GAN	https://arxiv.org/abs/1609.03126
f-GAN	https://arxiv.org/abs/1606.00709
Generative Adversarial Parallelization	https://arxiv.org/abs/1612.04021
DiscoGAN	https://arxiv.org/abs/1703.05192
Adversarial Feature Learning	https://arxiv.org/abs/1605.09782
Adversarially Learned Inference	https://arxiv.org/abs/1606.00704
Boundary Equilibrium GAN	https://arxiv.org/abs/1703.10717
Improved Training for Wasserstein GAN	https://arxiv.org/abs/1704.00028
DualGAN	https://arxiv.org/abs/1704.02510
MAGAN: Margin Adaptation for GAN	https://arxiv.org/abs/1704.03817
Softmax GAN	https://arxiv.org/abs/1704.06191
	https://github.com/informatrix/generative-models#variational-autoencoder-vae
Vanilla VAE	https://arxiv.org/abs/1312.6114
Conditional VAE	https://arxiv.org/abs/1406.5298
Denoising VAE	https://arxiv.org/abs/1511.06406
Adversarial Autoencoder	https://arxiv.org/abs/1511.05644
Adversarial Variational Bayes	https://arxiv.org/abs/1701.04722
	https://github.com/informatrix/generative-models#dependencies
http://conda.pydata.org/miniconda.html	http://conda.pydata.org/miniconda.html
Tensorflow	https://www.tensorflow.org/get_started/os_setup
Pytorch	https://github.com/pytorch/pytorch#installation
wiseodd.github.io	http://wiseodd.github.io
Readme	https://github.com/informatrix/generative-models#readme-ov-file
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