Kalman-and-Bayesian-Filters-in-Python
book
Kalman-and-Bayesian-Filters-in-Python | book | |
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32 | 626 | |
15,859 | 14,305 | |
- | 1.6% | |
0.0 | 8.7 | |
3 months ago | 4 days ago | |
Jupyter Notebook | Rust | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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
book
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Learning Rust: A clean start
My first port of call was to google learn rust which lead me to "the book". The book is a first steps guide written by the rust community for newbies (or Rustlings as they're called) to gain a 'solid grasp of the language'.
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Prodzilla: From Zero to Prod with Rust and Shuttle
Before Prodzilla, I’d read 'The Book' a couple of times, and had made my way through Rustlings, but hadn’t yet built a serious project in Rust.
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Help me stop hating rust
To answer your last question;
Start with the Rust book.
https://doc.rust-lang.org/book/
Then do Rustlings until the syntax becomes muscle memory.
Then join the Discord and start doing little projects.
You won’t get up to the proficiency of other languages as quickly in Rust. It takes longer. For me it’s taking a lot longer, but I enjoy it.
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Top 10 Rusty Repositories for you to start your Open Source Journey
Before diving into these repositories, familiarize yourself with Rust and its development ecosystem. The official Rust book is an excellent resource for developers at all levels. Each repository has documentation on how to contribute, covering code style, issue tracking, and pull requests.
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Command Line Rust is a great book
This is my third Rust book after the official book and Rust in Action. The other two books are great, but they were too theoretical for me. I'm a slow learner and had much trouble grokking Rust's features and idiosyncrasies. When I was done with these books, I was lost and unsure of what I could do.
- Advice Sought: Double down on Solidity dev or switch to Product?
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Nim
It's the same reason everything digital and downloadable isn't free: there's a cost to create it and there's a value to it.
For a language developer to charge for a book about that language, I think that's a completely valid way to make some money off of their work.
Even the Rust book, "The Rust Programming Language" is available freely online [0], but also as a print and ebook for sale via NoStarchPress [1].
[0] https://doc.rust-lang.org/book/
[1] https://nostarch.com/rust-programming-language-2nd-edition
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Systems programming - Rust
You know you can just read it online right now in 2 different variants It does contain some systems programming.
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Ask HN: How do you learn Rust in 2023?
I am looking at The Book (https://doc.rust-lang.org/book/), but hoped there was an amazing person on youtube.
Yeah, I'll build something, finally trying webassembly.
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Give me the best Resources to learn Rust
https://doc.rust-lang.org/book/ https://github.com/rust-lang/rustlings https://doc.rust-lang.org/rust-by-example/
What are some alternatives?
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
rust-by-example - Learn Rust with examples (Live code editor included)
clojure-style-guide - A community coding style guide for the Clojure programming language
Rustlings - :crab: Small exercises to get you used to reading and writing Rust code!
git-internals-pdf - PDF on Git Internals
solana-program-library - A collection of Solana programs maintained by Solana Labs
kalmanpy - Implementation of Kalman Filter in Python
nomicon - The Dark Arts of Advanced and Unsafe Rust Programming
react-bits - ✨ React patterns, techniques, tips and tricks ✨
github-cheat-sheet - A list of cool features of Git and GitHub.
elm-architecture-tutorial - How to create modular Elm code that scales nicely with your app
rust - Empowering everyone to build reliable and efficient software.