Yutao Zhou's repositories
astroNN
Deep Learning for Astronomers with Tensorflow
astroslam
Stellar LAbel Machine (SLAM).
base
Bayesian Analysis for Stellar Evolution
BasicATLAS
Python wrapper for running basic ATLAS-9/SYNTHE stellar models quickly and easily
BASTA
BASTA: The BAyesian STellar Algorithm
Chem-I-Calc
Chemical information calculator for resolved stellar spectroscopy
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
Cycle_SN
Generative and Interpretable Deep Learning for Stellar Spectra
Design-of-experiment-Python
Design-of-experiment (DOE) generator for science, engineering, and statistics
GALAH_DR3
Repository accompanying GALAH DR3
GridCal
GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console
isochrones
Pythonic stellar model grid access; easy MCMC fitting of stellar properties
kalepy
Kernel Density Estimation and (re)sampling
laspec
A toolkit for LAMOST spectra.
lhsmdu
This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772
lightkurve
A friendly package for Kepler & TESS time series analysis in Python.
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
PyAstronomy
A collection of astronomy-related routines in Python
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
smt
Surrogate Modeling Toolbox
TheCannon.jl
Implementation of The Cannon (Ness+ '15), a data-driven model of stellar spectra