awesome-normalizing-flows
Awesome resources on normalizing flows. (by janosh)
InvertibleNetworks.jl
A Julia framework for invertible neural networks (by slimgroup)
awesome-normalizing-flows | InvertibleNetworks.jl | |
---|---|---|
1 | 1 | |
1,313 | 144 | |
- | 1.4% | |
3.6 | 7.3 | |
about 1 month ago | 11 days ago | |
Python | Julia | |
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.
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.
InvertibleNetworks.jl
Posts with mentions or reviews of InvertibleNetworks.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-12.
What are some alternatives?
When comparing awesome-normalizing-flows and InvertibleNetworks.jl you can also consider the following projects:
PyMC - Bayesian Modeling and Probabilistic Programming in Python
Zygote.jl - 21st century AD
nflows - Normalizing flows in PyTorch
JOLI.jl - Julia Operators LIbrary
autoregressive - :kiwi_fruit: Autoregressive Models in PyTorch.
InvertibleNetworks
vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Tensorflow-iOS
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
pyro - Deep universal probabilistic programming with Python and PyTorch
awesome-normalizing-flows vs PyMC
InvertibleNetworks.jl vs Zygote.jl
awesome-normalizing-flows vs nflows
InvertibleNetworks.jl vs JOLI.jl
awesome-normalizing-flows vs autoregressive
InvertibleNetworks.jl vs InvertibleNetworks
awesome-normalizing-flows vs vbmc
InvertibleNetworks.jl vs AlphaZero.jl
awesome-normalizing-flows vs Tensorflow-iOS
InvertibleNetworks.jl vs Flux.jl
awesome-normalizing-flows vs pyro