awesome-datascience VS Awesome-VAEs

Compare awesome-datascience vs Awesome-VAEs and see what are their differences.

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awesome-datascience Awesome-VAEs
4 1
18,672 629
2.0% -
9.0 0.0
7 days ago 10 months ago
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.

awesome-datascience

Posts with mentions or reviews of awesome-datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

Awesome-VAEs

Posts with mentions or reviews of Awesome-VAEs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

What are some alternatives?

When comparing awesome-datascience and Awesome-VAEs you can also consider the following projects:

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

ScribeSalad - A collection of YouTube videos transcripts : Podcasts (Joe Rogan Experience, Tim Ferris, Jocko podcast, ..), lectures (YaleCourses, MIT lectures, Jordan B. Peterson talks, ..). A big transcripts salad spanning history, geography, science, politics, film making and more.

gdelt

selfhosted_templates - Portainer templates for selfhosted services

data-science-blogs - A curated list of data science blogs

awesome-self-supervised-speech-representation-learning - A comprehensive list of awesome self-supervised speech representation learning papers.