AutoGP.jl
Automated Bayesian model discovery for time series data (by probsys)
skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn. (by robinthibaut)
AutoGP.jl | skbel | |
---|---|---|
1 | 1 | |
52 | 20 | |
- | - | |
7.4 | 2.4 | |
5 months ago | 4 months ago | |
Julia | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
AutoGP.jl
Posts with mentions or reviews of AutoGP.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
skbel
Posts with mentions or reviews of skbel.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-14.
-
Predicting the distribution of a variable rather than a point estimate
For multivariate regression, I'm developing a Python package called SKBEL.
What are some alternatives?
When comparing AutoGP.jl and skbel you can also consider the following projects:
julia - The Julia Programming Language
Stheno.jl - Probabilistic Programming with Gaussian processes in Julia
PFASimplu - Aplicatie/soft pentru cei care tin contabilitatea in partida simpla (PFA/II, etc)
pymc-resources - PyMC educational resources
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
lasio - Python library for reading and writing well data using Log ASCII Standard (LAS) files
GPflow - Gaussian processes in TensorFlow