numpyro
MultiBUGS
| numpyro | MultiBUGS | |
|---|---|---|
| 2 | 1 | |
| 2,046 | 30 | |
| 1.1% | - | |
| 8.7 | 0.0 | |
| about 3 hours ago | almost 3 years ago | |
| Python | Shell | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
numpyro
- Bayesian Analysis with Python
-
Saving the World with Bayesian Modeling
Perhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
[1] https://github.com/pyro-ppl/numpyro
MultiBUGS
-
Project Oberon Emulator in JavaScript and Java
Oberon is awesome. I typically use a variant of it called Component Pascal. It is a very esoteric, and quite unique language.
My usage of it is in WinBUGS/OpenBUGS/MultiBUGS [1], for Markov chain Monte Carlo statistical analysis. It's really cool and works amazingly well for systems of differential equations too.
The version I recommend using is MultiBUGS [2]. I would avoid installing it in Windows, though!
[1] https://www.mrc-bsu.cam.ac.uk/software/bugs/
[2] https://github.com/MultiBUGS/MultiBUGS
What are some alternatives?
PyMC - Bayesian Modeling and Probabilistic Programming in Python
rstan - RStan, the R interface to Stan
trax - Trax — Deep Learning with Clear Code and Speed
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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.
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
BayesianEcosystems_IAP - Notes and code for Bayesian ecosystem modeling IAP course
security - Collection of CVEs from Sick Codes, or collaborations on https://sick.codes security research & advisories.
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...