autoregressive VS awesome-normalizing-flows

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

autoregressive

:kiwi_fruit: Autoregressive Models in PyTorch. (by cheind)
Machine Learning Deep Learning generative-model autoregressive wavenet Pytorch
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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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autoregressive awesome-normalizing-flows
1 1
66 1,302
- -
4.4 3.1
about 2 years ago 24 days ago
Python Python
MIT License MIT License
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autoregressive

Posts with mentions or reviews of autoregressive. 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
    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 autoregressive and awesome-normalizing-flows you can also consider the following projects:

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

PyMC - Bayesian Modeling and Probabilistic Programming in Python

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

nflows - Normalizing flows in PyTorch

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

InvertibleNetworks.jl - A Julia framework for invertible neural networks

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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

autoregressive vs denoising-diffusion-pytorch awesome-normalizing-flows vs PyMC autoregressive vs pytorch-lightning awesome-normalizing-flows vs nflows autoregressive vs transformers awesome-normalizing-flows vs InvertibleNetworks.jl autoregressive vs EasyOCR awesome-normalizing-flows vs vbmc awesome-normalizing-flows vs Tensorflow-iOS awesome-normalizing-flows vs pyro