awesome-datascience VS Awesome-VAEs

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

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems. (by academic)
Data Science Machine Learning Data Visualization Science Data Mining awesome-list Deep Learning Analytics data-scientists HacktoberFest
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Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning Deep Learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
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awesome-datascience Awesome-VAEs
9 1
22,991 755
1.3% -
7.2 0.0
17 days ago almost 3 years 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 2024-03-26.

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.
  • VAEs
    2 projects | /r/deeplearning | 29 Aug 2021
    List of VAE projects/works: https://github.com/matthewvowels1/Awesome-VAEs

What are some alternatives?

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

gdelt

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

DataScienceResources - Open Source Data Science Resources.

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia

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

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.

SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

selfhosted_templates - Portainer templates for selfhosted services

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

awesome-datascience vs gdelt Awesome-VAEs vs PyTorch-VAE awesome-datascience vs DataScienceResources Awesome-VAEs vs benchmark_VAE awesome-datascience vs vagas-junior-estagio Awesome-VAEs vs awesome-self-supervised-speech-representation-learning awesome-datascience vs ScribeSalad Awesome-VAEs vs SimCLR awesome-datascience vs data-science-blogs Awesome-VAEs vs disentangling-vae awesome-datascience vs selfhosted_templates Awesome-VAEs vs stanford-cs-229-machine-learning