gammy
:octopus: Generalized additive models in Python with a Bayesian twist (by malmgrek)
awesome-normalizing-flows
Awesome resources on normalizing flows. (by janosh)
gammy | awesome-normalizing-flows | |
---|---|---|
2 | 1 | |
75 | 1,306 | |
- | - | |
4.7 | 3.6 | |
24 days ago | 30 days ago | |
Python | Python | |
MIT 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.
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.
gammy
Posts with mentions or reviews of gammy.
We have used some of these posts to build our list of alternatives
and similar projects.
awesome-normalizing-flows
Posts with mentions or reviews of awesome-normalizing-flows.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Understanding Generative Flow
I would recommend this list of resources on github to get you started. In particular, I highly recommend this lecture by Marcus Brubaker et al which explains the essential components that you need: linear transformations, coupling layers and the multiscale architecture.
What are some alternatives?
When comparing gammy and awesome-normalizing-flows you can also consider the following projects:
PyMC - Bayesian Modeling and Probabilistic Programming in Python
nflows - Normalizing flows in PyTorch
autoregressive - :kiwi_fruit: Autoregressive Models in PyTorch.
InvertibleNetworks.jl - A Julia framework for invertible neural networks
vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Tensorflow-iOS
pyro - Deep universal probabilistic programming with Python and PyTorch