查看“机器学习与人工智能”的源代码

* artificial neural networks
: 气体的冷却 deepCool, deepHeat, and deepMetal:  arXiv:1901.01264

* unsupervised Random Forest
:找到SDSS中最怪异的星系  [https://arxiv.org/abs/1611.07526]
: https://arxiv.org/abs/2007.08530

* 恒星形成历史 [https://arxiv.org/abs/1903.10457]
: 基于数值模拟的结果，监督学习 
: Convolutional Neural Networks(CNN)
: Extremely Randomised Trees

* 高斯过程回归 （Gaussian Process Regressor）
:Scikit-Learn machine learning package for [[Python]]
:arXiv1901.02877 1908.04318

*merger
:REALSIM [https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.5390B/abstract]

*Galaxy morphology network [https://arxiv.org/abs/2006.14639]

==方法==
*降维：tSNE