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Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Notes about courses Dive into Deep Learning by Mu Li
Build digital circuits in Minecraft 在游戏我的世界中搭建数字电路
SDPT3: MATLAB/Octave software for semidefinite-quadratic-linear programming
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A curated list of awesome Deep Learning tutorials, projects and communities.
My blogs and code for machine learning. http://cnblogs.com/pinard
ARMA-GARCH Mixture Copula Mean-CVaR portfolio optimization project.
《MATLAB优化算法案例分析与应用（进阶篇）》代码和ppt
机器学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
Machine Learning Algorithms Second Edition, published by Packt
Companion webpage to the book "Mathematics For Machine Learning"
Source codes for book <<<BeginningAlgorithmContests>> Second edition
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Python Implementation of Reinforcement Learning: An Introduction
Python copulas library for dependency modeling
A library to model multivariate data using copulas.
A copy of the Lua development repository, as seen by the Lua team. Mirrored irregularly. Please DO NOT send pull requests or any other stuff. All communication should be through the Lua mailing lis…