GitHub - 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. - discu.eu

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Kalman and Bayesian Filters in Python (2018) https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python 12 comments 16/4/2019

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GitHub - Ly0n/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace https://github.com/Ly0n/awesome-robotic-tooling 54 comments
GitHub - mithi/robotics-coursework: 🤖 Places where you can learn robotics (and stuff like that) online 🤖 https://github.com/mithi/robotics-coursework 7 comments
eBooks | AnalytiXon http://advanceddataanalytics.net/ebooks/ 5 comments
free-programming-books/free-programming-books-subjects.md at main · EbookFoundation/free-programming-books · GitHub https://github.com/EbookFoundation/free-programming-books/blob/main/books/free-programming-books-subjects.md 3 comments
GitHub - protontypes/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. https://github.com/protontypes/awesome-robotic-tooling 0 comments
GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
GitHub - msadowski/awesome-weekly-robotics: A list of projects that were or will be featured in Weekly Robotics newsletter https://github.com/msadowski/awesome-weekly-robotics 0 comments
GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
Extended Kalman Filter Math for State Estimation | by Arush | Software for Autonomous Aerospace | Medium https://medium.com/@arush/the-math-behind-state-estimation-in-aerospace-software-66a15761049c 0 comments
Particle Filters: A Hands-On Tutorial - PMC https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826670/ 0 comments

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