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
git-internals-pdf
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What approach helped you to best learn Git?
For me the Peepcode Git Internals book was a great peek under the hood. I went from "Git has a lot of magical incantations" to "Git is pretty simple and I could probably build a version of it".
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Git as a Beginner
I generally recommend the Peepcode Git Internals book. The first half explains the internals of how Git works, and the second half is a command reference.
- Git book recommendations?
- What Git primitives get SHA-1'd to generate a hash?
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How well do you guys know Git
Once you get the hang of basic Git operations, you should look into how Git works under the hood. Git Internals helped me a lot on this.
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⛔ Squash commits considered harmful ⛔
❯ git log --graph --pretty=oneline --abbrev-commit --all * 150c57d (HEAD -> squash-merge) Squashed commit of the following: | * 535b740 (no-squash-merge) Merge branch 'work-branch' into no-squash-merge |/| | * 1836f1c (work-branch) And more | * 4b84cfe Add more |/ * 16660f8 (main) Add more * 02a154b Initial commit ❯ git cat-file -p no-squash-merge tree 58c1fb22faa444b264e98a5ae4c4ddb07be09697 parent 16660f8b1d1538ed1b55d8533b3ee7feb68e474c parent 1836f1c53221ae701a038bf5ae380770ea911665 author Manuel Odendahl 1653304391 -0400 committer Manuel Odendahl 1653304391 -0400 Merge branch 'work-branch' into no-squash-merge * work-branch: And more Add more squash-merges-considered-harmful on squash-merge on ☁️ ttc (us-east-1) ❯ git cat-file -p squash-merge tree 58c1fb22faa444b264e98a5ae4c4ddb07be09697 parent 16660f8b1d1538ed1b55d8533b3ee7feb68e474c author Manuel Odendahl 1653304543 -0400 committer Manuel Odendahl 1653304543 -0400 Squashed commit of the following: commit 1836f1c53221ae701a038bf5ae380770ea911665 Author: Manuel Odendahl Date: Mon May 23 07:11:08 2022 -0400 And more commit 4b84cfe11aa51da994448e602e1bc4cc6083d691 Author: Manuel Odendahl Date: Mon May 23 07:11:03 2022 -0400 Add more * ``` {% endraw %} You can see that save that both {% raw %}`squash-merge`{% endraw %} and {% raw %}`no-squash-merge`{% endraw %} point to the exact same tree. The only changed thing is the commit message, and the missing parent in the squash merge. To read more about the underpinnings of git, I can recommend just experimenting with the git command line, and the following resources: - [Building Git by James Coglan](https://shop.jcoglan.com/building-git/) - [Git Internals by Scott Chacon](https://github.com/pluralsight/git-internals-pdf) ## But the history! But Manuel, you say, the history is so much cleaner! To which I counter that it is actually not. If you want to hide the link to the right parent of the non-squash merge (as it is called, the left parent being {% raw %}`main`{% endraw %} ), all you need to do is to hide it. If you use the command-line or a proper tool, use the option to only show first parents. If you only look at the first parent, and configure your git tool to fill in a full log history of the branch into the merge commit message (I personally use the github CLI {% raw %}`gh`{% endraw %} or some git-commit hooks to do it), the squash merge commit is identical to the non squash merge commit. A favorite {% raw %}`git log`{% endraw %} command of mine to quickly look at the history of the main branch, and create a changelog: {% raw %} ```shell > git log --pretty=format:'# %ad %H %s' --date=short --first-parent --reverse # 2022-05-23 02a154bc4f0fa9bca567676d45d136619c076a95 Initial commit # 2022-05-23 16660f8b1d1538ed1b55d8533b3ee7feb68e474c Add more # 2022-05-23 535b740f42e331175f3766c1374116e329a78f7e Merge branch 'work-branch' into no-squash-merge
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How should i go about learning git?
I often recommend the Peepcode Git Internals book. The first half talks about how Git works internally. The second half is a "how to use Git" tutorial. I think understanding the internals (which aren't really that complicated) can really help to demystify Git.
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I was said that I do not know how Git works
Conceptually, Git's not really all that complicated. I always recommend people to read the Peepcode Git Internals book (originally $9, now free): https://github.com/pluralsight/git-internals-pdf/blob/master/drafts/peepcode-git.pdf
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would pulling make sense here?
Check out this page if you haven't yet (alternatively, direct link to the PDF.) I hear it's all good, but the Understanding Git chapter is the one I'd specifically point you to.
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Learn the workings of Git, not just the commands(2021)
I still very much recommend the Peepcode Git Internals book.
https://github.com/pluralsight/git-internals-pdf/releases
What are some alternatives?
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
Crafting Interpreters - Repository for the book "Crafting Interpreters"
clojure-style-guide - A community coding style guide for the Clojure programming language
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
kalmanpy - Implementation of Kalman Filter in Python
papers-we-love - Papers from the computer science community to read and discuss.
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
JavaScript-es6-and-beyond-ebook - A comprehensive, easy-to-follow ebook to learn everything from the basics of JavaScript to ES2020. Read more on my blog https://inspiredwebdev.com or buy it here https://leanpub.com/completeguidetomodernjavascript2020. Get the course here https://www.educative.io/courses/complete-guide-to-modern-javascript?aff=BqmB [Moved to: https://github.com/AlbertoMontalesi/The-complete-guide-to-modern-JavaScript]
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
web-dev-golang-anti-textbook - Learn how to write webapps without a framework in Go.