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Lists (8)
Starred repositories
Code for the networks chapters in Sayama's Introduction to the Modeling and Analysis of Complex Systems, updated for the networkx 2.x library.
Code included in the book "Introduction to the Modeling and Analysis of Complex Systems" translated from Python2 to Python3
Code for GaiaUnlimited Gaia selection function tools
A comprehensive list of published machine learning applications to cosmology
Supplement to E.T. Jaynes' Probability Theory: The Logic of Science, Chinese Edition
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A beautiful, simple, clean, and responsive Jekyll theme for academics
Code for Laroche & Speagle 2024 (in prep)
This public repository includes all the source data presented in my recent paper about the integrated metallicity gradient of the Milky Way.
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Updated Apr 2, 2023
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
A personal resume website template built with React.js, Typescript, Next.js, and styled with Tailwind css
A dashboard containing the main results on the masses of a large sample of open clusters. This is the English version and serves as support in the publication of the article.
Tutorial how to access the StarHorse database at gaia.aip.de
COSMIC (Characterization Of Star clusters using Machine-learning Inference and Clustering) is an open-source software suite built on Python and the PyMC library. Designed as a comprehensive toolkit…
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Updated Sep 28, 2023
A toolbox for working with observations of star clusters.
Tutorials for the 2022 IAIFI Summer School, covering (deep) probabilistic programming with Jax and NumPyro.