- Generative Models in Unsupervised Machine Learning https://blog.openai.com/generative-models/ 15 comments artificial
Linking pages
- Google is using AI to create stunning landscape photos using Street View imagery - The Verge https://www.theverge.com/2017/7/14/15973712/google-ai-research-street-view-panorama-photo-editing 569 comments
- Generating custom photo-realistic faces using AI | by Shaobo GUAN | Insight https://blog.insightdatascience.com/generating-custom-photo-realistic-faces-using-ai-d170b1b59255 119 comments
- GitHub - kootenpv/neural_complete: A neural network trained to help writing neural network code using autocomplete https://github.com/kootenpv/neural_complete 20 comments
- Implicit Generation and Generalization Methods for Energy-Based Models https://openai.com/blog/energy-based-models/ 4 comments
- Deep adversarial learning is finally ready 🚀 and will radically change the game | by Michael Dietz | Medium https://medium.com/@waya.ai/deep-adversarial-learning-is-finally-ready-and-will-radically-change-the-game-f0cfda7b91d3 0 comments
- Generative Adversarial Networks: Create Data from Noise | Toptal https://www.toptal.com/machine-learning/generative-adversarial-networks 0 comments
- How my research in AI put my dad out of a job | by Rand Hindi | Snips Blog | Medium https://medium.com/snips-ai/how-my-research-in-ai-put-my-dad-out-of-a-job-1a4c80ede1b0 0 comments
- ENHANCE!: Upscaling images CSI-style with generative adversarial neural networks http://geoffreylitt.com/2017/06/04/enhance-upscaling-images-with-generative-adversarial-neural-networks.html 0 comments
- The GAN Zoo. A list of all named GANs! | by Avinash Hindupur | Deep Hunt https://deephunt.in/the-gan-zoo-79597dc8c347 0 comments
- gans-awesome-applications/README.md at master · nashory/gans-awesome-applications · GitHub https://github.com/nashory/gans-awesome-applications 0 comments
- Blender 2.8 Grease Pencil Scripting and Generative Art | by Alex Martinelli | Towards Data Science https://towardsdatascience.com/blender-2-8-grease-pencil-scripting-and-generative-art-cbbfd3967590 0 comments
- GitHub - omerbsezer/Generative_Models_Tutorial_with_Demo: Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc.. https://github.com/omerbsezer/Generative_Models_Tutorial_with_Demo 0 comments
- How AI Startups Must Compete with Google: Reply to Fei-Fei Li | by Mostapha Benhenda | HackerNoon.com | Medium https://medium.com/@mostafab/how-ai-startups-must-compete-with-google-reply-to-fei-fei-li-35dda19c8a3f 0 comments
- A Dozen Times Artificial Intelligence Startled The World | by Sumeet Agrawal | Archie.AI | Medium https://medium.com/archieai/a-dozen-times-artificial-intelligence-startled-the-world-eae5005153db 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 752 comments
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- 500'000€ Prize for Compressing Human Knowledge http://prize.hutter1.net/ 253 comments
- Kullback–Leibler divergence - Wikipedia http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence 74 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap2.html#the_four_fundamental_equations_behind_backpropagation 64 comments
- GitHub - Newmu/dcgan_code: Deep Convolutional Generative Adversarial Networks https://github.com/Newmu/dcgan_code/blob/master/README.md 46 comments
- Normal distribution - Wikipedia https://en.wikipedia.org/wiki/Normal_distribution 19 comments
- https://gym.openai.com/ 18 comments
- Deep Reinforcement Learning: Pong from Pixels https://karpathy.github.io/2016/05/31/rl/ 16 comments
- OpenAI Gym Beta https://openai.com/blog/openai-gym-beta/ 13 comments
- ImageNet http://image-net.org/index 12 comments
- [1606.03498] Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 12 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- Mutual information - Wikipedia https://en.wikipedia.org/wiki/Mutual_information#Definition 5 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- Richard Feynman - Wikipedia https://en.wikipedia.org/wiki/Richard_Feynman?ref=reddit 1 comment
- [1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
- CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/convolutional-networks/ 0 comments
- High-Level Explanation of Variational Inference https://www.cs.jhu.edu/~jason/tutorials/variational.html 0 comments
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