wmingdao

wmingdao's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.4k4633224.2k

• wepe/MachineLearning

  Basic Machine Learning and Deep Learning

  Language:Python5.2k453403.2k

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.2k928483

• shahroudy/NTURGB-D

  Info and sample codes for "NTU RGB+D Action Recognition Dataset"

  Language:MATLAB7371669175

• niais/Awesome-Skeleton-based-Action-Recognition

  Skeleton-based Action Recognition

  Language:HTML672334124

• oneHuster/Meta-Learning-Papers

  A classified list of meta learning papers based on realm.

  34616143

• stnoah1/infogcn

  Official implementation for "InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition"

  Language:Python11322112

• passages-kddcup2021/KDDCUP2021_OGB_LSC_MAG240M

  KDD cup2021 ogb-lsc mag240m track method for passages team

  Language:Jupyter Notebook5002

• wmingdao/Awesome-Skeleton-based-Action-Recognition

  Skeleton-based Action Recognition

  Language:HTML1000

• wmingdao/CSTCN

  Language:Python10