monad-bayes
A library for probabilistic programming in Haskell. (by tweag)
learnyouahaskell.github.io
A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection! (by learnyouahaskell)
monad-bayes | learnyouahaskell.github.io | |
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5 | 11 | |
395 | 245 | |
0.8% | - | |
8.0 | 4.1 | |
3 days ago | about 1 month ago | |
Jupyter Notebook | HTML | |
MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
monad-bayes
Posts with mentions or reviews of monad-bayes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-01.
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Monthly Hask Anything (July 2022)
source-repository-package type: git location: https://github.com/tweag/monad-bayes.git
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Missing specialisation warning
I'm extending https://github.com/tweag/monad-bayes, which had it already, not sure where from. To be fair, it only had it in "dev" mode. Here's the flags in the cabal file:
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Call for statistical problems for monad-bayes
So this summer I'll be working as part of a Tweag fellowship (https://www.tweag.io/blog/2020-02-14-os-fellowship/) on extending the Bayesian inference and probabilistic programming library monad-bayes (https://github.com/tweag/monad-bayes). It's a super nice library, and my goal is to make it much more user friendly (see these draft docs for example: https://monad-bayes.netlify.app/).
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Basic questions about GHC options
These questions are pretty basic, but I'm having a hard time making sure I'm doing things right. I have a .cabal file which I want to change in order to enable e.g. threading and optimization (https://github.com/tweag/monad-bayes/blob/master/monad-bayes.cabal). Looking at it, I don't see -O2 or -threading anywhere, so am I right in thinking those things aren't happening, or am I looking in the wrong place?
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Parallel arrays
Thanks so much! Streamly seems like a good idea. I'll almost certainly follow up with more detailed questions after trying some things, but just for context for now, here's the code I'm trying to modify: https://github.com/tweag/monad-bayes/blob/master/src/Control/Monad/Bayes/Population.hs .
learnyouahaskell.github.io
Posts with mentions or reviews of learnyouahaskell.github.io.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
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Learning haskell
Oh OK. Then yes get a good textbook for yourself. Learn you a Haskell for Great Good (I'd suggest: https://learnyouahaskell.github.io/ over the one in the sidebar) is free on the web. But buy a book and get it soon.
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What is the best resource to learn Haskell in 2023?
So we have LYAH, also there is O'Reilly book, which is a bit old but still mostly good, many people start with this book. After any of those three you can probably decide for yourself what to use to continue the study
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I want to learn Haskell !
You can find an exhaustive list on haskell.org/documentation, but I'd recommend Learn You A Haskell (LYAH), haskell.mooc.fi, or CIS 194.
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Is Learn You a Haskell for Great Good! old-fashioned?
There is a community edition of LYAH that's still being updated.
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Need help with this code, it is from a tutorial and it doesn't work
In case there are any beginners stumbling upon this I just want to repeat what I said on the Discord: This code example (at least the original code OP posted - it seems to have been edited since) originates from the terrible TutorialsPoint Haskell tutorial. It is outdated and comically wrong, please don't use it. If you're looking for free Haskell tutorials I'd suggest the Wikibook or Learn You a Haskell.
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Monthly Hask Anything (July 2022)
I'm just under halfway through LYAH and I have to say, it's not clicking at all. I can't put my finger on it but I feel like I'm not learning much.
- Good technical writing is an art
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is learnyouahaskell.com giving u some other page?
Might try https://learnyouahaskell.github.io/ instead.
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I started to study haskell, but many functional programming concepts are still not clear to me
Learn You a Haskell (community version)
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Learn You a Haskell: A community version
Repository: https://github.com/learnyouahaskell/learnyouahaskell.github.io
What are some alternatives?
When comparing monad-bayes and learnyouahaskell.github.io you can also consider the following projects:
NestedSampling
course-plan - 📜 Haskell course info, plan, video lectures, slides
markov-realization - Haskell implementation of Markov chains.
jordan - Abstract, inspectable JSON representation of Haskell objects
inliterate - DiffusionKinetics open-source monorepo
chord-maker - A programming project for musicians learning to code.
statistics - A fast, high quality library for computing with statistics in Haskell.
learn-you-a-haskell - “Learn You a Haskell for Great Good!” by Miran Lipovača
monad-bayes vs NestedSampling
learnyouahaskell.github.io vs course-plan
monad-bayes vs markov-realization
learnyouahaskell.github.io vs jordan
monad-bayes vs inliterate
learnyouahaskell.github.io vs chord-maker
monad-bayes vs statistics
learnyouahaskell.github.io vs learn-you-a-haskell
monad-bayes vs jordan