InvertibleNetworks.jl VS awesome-normalizing-flows

Compare InvertibleNetworks.jl vs awesome-normalizing-flows and see what are their differences.

InvertibleNetworks.jl

A Julia framework for invertible neural networks (by slimgroup)
Machine Learning invertible-neural-networks deep-invertible-networks invertible-1x1-convolutions normalizing-flows Julia Deep Learning bayesian-inference julia-language normalizing-flow
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awesome-normalizing-flows

Awesome resources on normalizing flows. (by janosh)
normalizing-flows bayesian-neural-networks variational-inference density-estimation generative-modeling autoregressive Machine Learning awesome-list bayesian-inference
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InvertibleNetworks.jl awesome-normalizing-flows
1 1
142 1,300
2.1% -
7.3 3.1
12 days ago 18 days ago
Julia 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.
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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.

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
    1 project | /r/MachineLearning | 22 Jul 2021
    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 InvertibleNetworks.jl and awesome-normalizing-flows you can also consider the following projects:

Zygote.jl - 21st century AD

PyMC - Bayesian Modeling and Probabilistic Programming in Python

JOLI.jl - Julia Operators LIbrary

nflows - Normalizing flows in PyTorch

InvertibleNetworks

autoregressive - :kiwi_fruit: Autoregressive Models in PyTorch.

AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

vbmc - Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

Tensorflow-iOS

pyro - Deep universal probabilistic programming with Python and PyTorch

InvertibleNetworks.jl vs Zygote.jl awesome-normalizing-flows vs PyMC InvertibleNetworks.jl vs JOLI.jl awesome-normalizing-flows vs nflows InvertibleNetworks.jl vs InvertibleNetworks awesome-normalizing-flows vs autoregressive InvertibleNetworks.jl vs AlphaZero.jl awesome-normalizing-flows vs vbmc InvertibleNetworks.jl vs Flux.jl awesome-normalizing-flows vs Tensorflow-iOS awesome-normalizing-flows vs pyro