将基于OpenBUGS MATLAB的贝叶斯统计学课程移植到Python PyMC。，
Porting an OpenBUGS MATLAB-based Bayesian statistics course to Python PyMC., (2023-08-03, Jupyter Notebook, 0KB, 下载0次)
萨斯喀彻温大学基于过程的水文建模研究生课程中使用的数据和代码。
Data and code for exericses in the University of Saskatchewan s graduate course in porcess-Based Hydrological Modelling. (2023-02-16, Jupyter Notebook, 0KB, 下载0次)
FastSMC是一种快速准确地估计基因组中两两相同的按血统（IBD）区域的方法。法斯...
FastSMC is a method to quickly and accurately estimate pairwise identical-by-descent (IBD) regions in the genome. FastSMC estimates the age of IBD segments and scales to large biobank datasets. https://doi.org/10.1038/s41467-020-19588-x (2021-09-02, Jupyter Notebook, 0KB, 下载0次)
史蒂文斯理工学院电气和计算机工程专业的深度学习课程
Deep Learning course taught in Electrical and Computer Engineering at Stevens Institute of Technology (2020-04-23, Jupyter Notebook, 0KB, 下载0次)
对最初的考克斯、罗斯和鲁宾斯坦方法的简化。
A streamlined take on the original Cox, Ross and Rubinstein method. (2017-03-20, Jupyter Notebook, 0KB, 下载0次)
卡尔斯鲁厄机器学习、统计和人工智能会议上过去技术会谈的幻灯片和补充材料
Slides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup (2018-12-14, Jupyter Notebook, 0KB, 下载0次)
特雷弗·哈斯蒂（Trevor Hastie）、罗伯特·蒂布希（Robert Tibshi）的《统计学习的要素》（the Elements of Statistical Learning）的笔记和代码（jupyter笔记本）...
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman (2022-01-31, Jupyter Notebook, 0KB, 下载0次)
状态空间模型的贝叶斯学习与推理
Bayesian learning and inference for state space models (2023-05-17, Jupyter Notebook, 0KB, 下载0次)
Python PyMC3移植了Richa的“统计反思R和Stan中的贝叶斯课程”中的示例...
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath (2020-06-15, Jupyter Notebook, 0KB, 下载0次)
米格尔·埃尔南（Miguel Hernán）和詹姆斯·罗宾斯（James Robins）的《因果推理：假设》（Causal Inference:What If）一书第2部分的Python代码
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins (2022-01-08, Jupyter Notebook, 0KB, 下载0次)
Python和MATLAB代码实现贝叶斯线性回归。
Python and MATLAB codes to implement Bayesian linear regression. (2021-08-02, Jupyter Notebook, 0KB, 下载0次)
贝叶斯模型拟合（Py）VBMC教程。
Tutorial on Bayesian model fitting with (Py)VBMC. (2023-01-12, Jupyter Notebook, 0KB, 下载0次)
斯坦福凸优化课程的python（而不是Matlab）作业笔记本
homework notebooks for the Stanford Convex Optimisation course in python (rather than Matlab) (2022-07-31, Jupyter Notebook, 0KB, 下载0次)
斯坦福大学Rad229类代码：MRI信号和序列
Stanford University Rad229 Class Code: MRI Signals and Sequences (2023-06-26, Jupyter Notebook, 0KB, 下载0次)