Coursera-Machine-Learning-Stanford
Machine learning-Stanford University (by atinesh-s)
vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (by acerbilab)
| Coursera-Machine-Learning-Stanford | vbmc | |
|---|---|---|
| 1 | 2 | |
| 1,097 | 211 | |
| - | 1.9% | |
| 0.0 | 2.8 | |
| about 1 year ago | about 1 year ago | |
| MATLAB | MATLAB | |
| - | 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.
Coursera-Machine-Learning-Stanford
Posts with mentions or reviews of Coursera-Machine-Learning-Stanford.
We have used some of these posts to build our list of alternatives
and similar projects.
vbmc
Posts with mentions or reviews of vbmc.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-05.
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[R] New open-source Python software for sample-efficient Bayesian inference
Relevant papers about the underlying algorithm were published at NeurIPS in 2018 and 2020, but this is the first Python implementation (there was a MATLAB implementation); the port took us a while but it can finally be used for machine learning purposes
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New Python open-source software for sample-efficient Bayesian inference
The MATLAB implementation has been around for a while, and other research groups have applied it among other things for Bayesian parameter inference in:
What are some alternatives?
When comparing Coursera-Machine-Learning-Stanford and vbmc you can also consider the following projects:
cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University
awesome-normalizing-flows - Awesome resources on normalizing flows.
FraudDetection - Accounting Fraud Detection Using Machine Learning
pyro - Deep universal probabilistic programming with Python and PyTorch
GPflow - Gaussian processes in TensorFlow
PRMLT - Matlab code of machine learning algorithms in book PRML
MATLAB-Guide - MATLAB Guide
vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)