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randorithms.com
| | blog.vespa.ai
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| | From text search and recommendation to ads and online dating, ANN search rarely works in isolation.
| | 0x65.dev
3.8 parsecs away

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| | Optimizing memory-usage for approximate nearest neighbor search
| | erikbern.com
4.3 parsecs away

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| | This is a blog post rewritten from a presentation at NYC Machine Learning on Sep 17. It covers a library called Annoy that I have built that helps you do nearest neighbor queries in high dimensional spaces.
| | blog.otoro.net
21.6 parsecs away

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| [AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood.