机器学习与人工智能

• artificial neural networks (ANN)

气体的冷却 deepCool, deepHeat, and deepMetal: arXiv:1901.01264

对quench的机制进行排序 [1]

• unsupervised Random Forest

找到SDSS中最怪异的星系 [2]

https://arxiv.org/abs/2007.08530

• 恒星形成历史 [3]

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

图像相关

• merger

REALSIM [4]

• Galaxy morphology network [5]

• Morpheus

https://ui.adsabs.harvard.edu/abs/2020ApJS..248...20H/abstract

• 贾鹏的方法

https://arxiv.org/abs/2002.09211

• deblend

Residual Dense Neural network (RDN) [6]

sextractor做deblend [7]

weaklense中的deblend [8]

算法

• 降维：tSNE
• 降维：MDS Multidimensional Scaling, [9]

软件包

• rapids Nvidia出的python下的GPU加速套件 [10]

cudf

cuML 加速scikit-learn [11]

安装（兼顾pytorch的兼容性）conda create -n pytorch_and_rapids -c rapidsai-nightly -c nvidia -c pytorch -c conda-forge rapids=22.04 pytorch=1.10.0 cudatoolkit=11.3

• scikit-learn
• astroML [12]
• jax
• pytorch
• tensorflow

教程

• https://github.com/WillKoehrsen/Machine-Learning-Projects