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| | yang-song.net
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| | This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling. The resulting generative models, often called score-based generative models, has several important advantages over existing model families: GAN-level sample quality without adversarial training, flexible model architectures, exact log-likelihood ...
| | matbesancon.xyz
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| | Learning by doing: detecting fraud on bank notes using Python in 3 steps.
| | jxmo.io
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | jimmeruk.com
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| [AI summary] The post features a collage of images, likely photoshops, accompanied by the title 'Just getting it done... regardless' and a brief description about the website's cookie policy. It does not have a clear main content area that can be classified into the provided categories, but it is centered around imagery and digital content creation, aligning best with graphic art.