Scarlet2 – Thoughts for a major redesign
Astronomical source modeling and separation, all new and shiny
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Bayesian inference three ways
Running MCMC, Hamiltonian MC, and simulation-based inference with a few lines of code
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Proximal matrix factorization in pytorch
Constrained optimization with autograd
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Data Science in Astronomy: pyTorch introduction
Neural networks without clutter
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Data Science in Astronomy: Neural networks 101
The structure and power of shallow networks for regression and classification
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Data Science in Astronomy: Classification Theory
The common ideas behind classification with Naive Bayes, LDA, QDA, logit, and SVM
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Data Science in Astronomy: Clustering
Clustering of cluster galaxies with K-means, Mean-Shift, MST, and the Gap statistic
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Data Science in Astronomy: Introduction and scikit-learn
An overview of jargon, plus multi-band detection by clustering in color space
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The magic of proximal operators
Constrained optimization made easy
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Gaussian mixture models for Astronomy
An intro for observational data analysis projects
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Map projections for wide-field surveys
What cartography can teach us about survey visualization
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Four massive clusters from DES SV data
We went out to test DECam, and got galaxy clusters and filaments
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