Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
- gans-awesome-applications/README.md at master · nashory/gans-awesome-applications · GitHub https://github.com/nashory/gans-awesome-applications 0 comments
- GitHub - bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. https://github.com/bharathgs/Awesome-pytorch-list 0 comments
- GitHub - nightrome/really-awesome-gan: A list of papers on Generative Adversarial (Neural) Networks https://github.com/nightrome/really-awesome-gan 0 comments
- Machine Learning Weekly Review №6 | by Machine Learning Digest | ML Review https://medium.com/mlreview/machine-learning-weekly-review-6-f429f11a8ce9 0 comments
Linked pages
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration https://github.com/pytorch/pytorch 1 comment
- [1703.05192] Learning to Discover Cross-Domain Relations with Generative Adversarial Networks https://arxiv.org/abs/1703.05192 0 comments
- [1701.07875] Wasserstein GAN https://arxiv.org/abs/1701.07875 0 comments
- [1704.00028] Improved Training of Wasserstein GANs https://arxiv.org/abs/1704.00028 0 comments
- [1511.05644] Adversarial Autoencoders http://arxiv.org/abs/1511.05644 0 comments
- [1606.03657] InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657 0 comments
- [1704.06191] Softmax GAN https://arxiv.org/abs/1704.06191 0 comments
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