CausalDiscoveryToolbox

Python sample codes and textbook for robotics algorithms.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

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研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

All algorithms implemented in C#.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Uplift modeling and causal inference with machine learning algorithms

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....