Kalman-and-Bayesian-Filters-in-Python
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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
elm-architecture-tutorial
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Korean software is not user friendly!
I'm learning Haskell right now, pure functional language, but if anyone is interested, Elm is based on Haskell and much easier to learn. Elm is a web development language that compiles to JS. https://guide.elm-lang.org/
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Is there any alternative other than JavaScript to deal with web frontend?
Elm is a different approach that compiles into JavaScript. In the extreme case, you have Emscripten which will compile many language into JavaScript but will feel really clumsy compared to using JavaScript in a lot of cases.
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It’s painfully obvious there is a lack of understanding for the very basics of React
And if you want to stay in the UI realm, Elm is a good introduction into functional programming.
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Good JS coding challenges website for daily tasks practice (no Leetcode)?
If you want to get better at data structures you should strongly consider learning a functional language. A huge part of functional programming is manipulating data structures. The language Elm is a great place to start for you since it's frontend specific. For example, check out the doc page for the Dict data type and see if that kind of stuff is what you're looking for.
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Learning functional oncepts - Which Language?
https://guide.elm-lang.org/ for a high level guide, and an unstyled button example https://elm-lang.org/examples/buttons.
- How can I learn to code with ADHD? Need help
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Elm for React developers
I hope this tiny guide was helpful, and that you learned something new today. If you want to learn more about Elm, you should check out the official guide or say hello in the Elm Slack #beginners channel
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The best language tutorials that you have seen?
https://guide.elm-lang.org/ is always a solid example for me
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Why I decided to learn (and teach) Clojure
After going through the whole Introductory Guide to the Elm Language and reading the Elm in Action book, I already felt quite comfortable developing webapps in this paradigm. I liked Elm so much that I started a project to teach programming to beginners using this language and made the first classes available on the website elm.dev.br (in Brazilian Portuguese).
- Por que Elm é uma linguagem tão deliciosa?
What are some alternatives?
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
papers-we-love - Papers from the computer science community to read and discuss.
clojure-style-guide - A community coding style guide for the Clojure programming language
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
git-internals-pdf - PDF on Git Internals
Elm - Compiler for Elm, a functional language for reliable webapps.
kalmanpy - Implementation of Kalman Filter in Python
flux - Application Architecture for Building User Interfaces
react-bits - ✨ React patterns, techniques, tips and tricks ✨
vite-plugin-elm - A plugin for Vite enables you to compile an Elm application/document/element
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
accesskit - UI accessibility infrastructure across platforms and programming languages