stan VS fastbaps

Compare stan vs fastbaps and see what are their differences.

stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details. (by stan-dev)

fastbaps

A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data (by gtonkinhill)
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stan fastbaps
44 0
2,509 51
0.8% -
9.5 0.0
1 day ago over 1 year ago
C++ R
BSD 3-clause "New" or "Revised" License 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.

stan

Posts with mentions or reviews of stan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

fastbaps

Posts with mentions or reviews of fastbaps. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning fastbaps yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing stan and fastbaps you can also consider the following projects:

PyMC - Bayesian Modeling and Probabilistic Programming in Python

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

rstan - RStan, the R interface to Stan

Elo-MMR - Skill estimation systems for multiplayer competitions

brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

probability - Probabilistic reasoning and statistical analysis in TensorFlow

pyro - Deep universal probabilistic programming with Python and PyTorch

MultiBUGS - Multi-core BUGS for fast Bayesian inference of large hierarchical models

arviz - Exploratory analysis of Bayesian models with Python

rnim - A bridge between R and Nim

stat_rethinking_2020 - Statistical Rethinking Course Winter 2020/2021

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.