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juliasilge.com | ||
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r-spatial.github.io
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| | | | | Read simple features from file or database, or retrieve layer names and their geometry type(s) Read PostGIS table directly through DBI and RPostgreSQL interface, converting Well-Know Binary geometries to sfc | |
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www.r-spatial.org
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| | | | | Spatial networks in R with sf and tidygraphLucas van der Meer, Robin Lovelace & Lorena AbadSeptember 26, 2019 | |
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www.sharpsightlabs.com
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| | | | | This tutorial is part 4 of our covid-19 data analysis using R. For more data science tutorials, sign up for our email list. | |
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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 ... | ||
