NestedSampling
By ijt
monad-bayes
A library for probabilistic programming in Haskell. (by tweag)
NestedSampling | monad-bayes | |
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- | 5 | |
- | 395 | |
- | 0.8% | |
- | 8.0 | |
- | 3 days ago | |
Jupyter Notebook | ||
GNU General Public License v2.0 only | MIT License |
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.
NestedSampling
Posts with mentions or reviews of NestedSampling.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning NestedSampling yet.
Tracking mentions began in Dec 2020.
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 .
What are some alternatives?
When comparing NestedSampling and monad-bayes you can also consider the following projects:
building_an_open_ai_network - MIT Press
markov-realization - Haskell implementation of Markov chains.
inliterate - DiffusionKinetics open-source monorepo
statistics - A fast, high quality library for computing with statistics in Haskell.
Data-science-best-resources - Carefully curated resource links for data science in one place
jordan - Abstract, inspectable JSON representation of Haskell objects
datascience - Curated list of Python resources for data science.
learnyouahaskell.github.io - A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection!
NestedSampling vs building_an_open_ai_network
monad-bayes vs markov-realization
NestedSampling vs inliterate
monad-bayes vs inliterate
NestedSampling vs markov-realization
monad-bayes vs statistics
NestedSampling vs Data-science-best-resources
monad-bayes vs jordan
NestedSampling vs datascience
monad-bayes vs learnyouahaskell.github.io