Kalman-and-Bayesian-Filters-in-Python
You-Dont-Know-JS
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Kalman-and-Bayesian-Filters-in-Python
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The Kalman Filter
A fantastic interactive introduction to Kalman filters can be found on the following repo:
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
It explains them from first principles and provides the intuitive rationale for them but doesn't shy away from the math when it feels the student should be ready for it.
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Kalman Filter Explained Simply
No thread on Kalman Filters is complete without a link to this excellent learning resource, a book written as a set of Jupyter notebooks:
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
That book mentions alpha-beta filters as sort of a younger sibling to full-blown Kalman filters. I recently had need of something like this at work, and started doing a bunch of reading. Eventually I realized that alpha-beta filters (and the whole Kalman family) is very focused on predicting the near future, whereas what I really needed was just a way to smooth historical data.
So I started reading in that direction, came across "double exponential smoothing" which seemed perfect for my use-case, and as I went into it I realized... it's just the alpha-beta filter again, but now with different names for all the variables :(
I can't help feeling like this entire neighborhood of math rests on a few common fundamental theories, but because different disciplines arrived at the same systems via different approaches, they end up sounding a little different and the commonality is obscured. Something about power series, Euler's number, gradient descent, filters, feedback systems, general system theory... it feels to me like there's a relatively small kernel of intuitive understanding at the heart of all that stuff, which could end up making glorious sense of a lot of mathematics if I could only grasp it.
Somebody help me out, here!
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Recommendations for undergrad to learn optimal state estimation
This provides an excellent intro that jumps right into code. https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
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A Non-Mathematical Introduction to Kalman Filters for Programmers
If you know a bit of Python and you find it sometimes tough to grind through a textbook, take a look here:
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
Interactive examples programmed in Jupyter notebooks.
- Looking for a study partner to learn kalman filter
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Kalman Filter for Beginners
Thank you, very good resource! Timely too, as I am revising this topic.
My work is mostly in python. I found this interactive book using Jupyter that explains Kalman filters from first principles.
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
- Starting out with Kalman Filter.
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want to learn kalman filter
Try this book
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kalman filter & c++
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python And on robotics in general
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Do you use particle/Kalman filters at work?
- Kalman and Bayesian Filters in Python
You-Dont-Know-JS
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10 GitHub Repos for Mastering JavaScript
Repository: getify/You-Dont-Know-JS
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10 JavaScript Sites Every Web Developer Should Know
(https://github.com/getify/You-Dont-Know-JS) You Don't Know JS is a series of books that dives deep into the inner workings of JavaScript. Written by Kyle Simpson, these books explore topics like scope, closures, and prototypes, helping you master JavaScript's more complex concepts.
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🧙‍♂️Master JavaScript with these 5 GitHub repositories🪄✨🚀
3. You-Dont-Know-JS
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Eloquent JavaScript 4th edition (2024)
There are 6 books, the author recommends reading them in an order:
https://github.com/getify/You-Dont-Know-JS?tab=readme-ov-fil...
If the second edition is not available, you can read the first edition, just be aware some small things may be slightly out of date.
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Tech stories: make me a microservice architecture! But what's the product?
I also understood the importance of reading great books on software engineering; in my case You don't know JS by @getify đź‘Ź basically cured my depression and drop of self-esteem.
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10 GitHub repositories that every developer must follow
âś… getify/You-Dont-Know-JS : https://github.com/getify/You-Dont-Know-JS
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
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How Closures Work and Why It Matters
“You Don’t Know JS” by Kyle Simpson
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Coming to grips with JS: a Rubyist's deep dive
You Don't Know JS
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JavaScript Coercion : Beyond Basics
JavaScript Data Structures - MDN valueOf - MDN valueOf in JavaScript - ECMA Abstract Operations: To Primitive - ECMA You Don't Know JS by Kyle Simpson
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git-internals-pdf - PDF on Git Internals
front-end-interview-handbook - ⚡️ Front End interview preparation materials for busy engineers
kalmanpy - Implementation of Kalman Filter in Python
awesome-cheatsheets - 👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
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clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript
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learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!