Yutao Zhou's repositories
apogee
Tools for dealing with APOGEE data
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
doepy
Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
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
pyDOE
Design of experiments for 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
SME
Spectroscopy Made Easy
smt
Surrogate Modeling Toolbox
StePar
StePar is an automatic code used to infer stellar atmospheric parameters using the EW method.
synple
An Easy-to-Use Wrapper for the Spectral Synthesis Code Synspec
TheCannon.jl
Implementation of The Cannon (Ness+ '15), a data-driven model of stellar spectra