Data-Science-Resources VS Awesome-pytorch-list

Compare Data-Science-Resources vs Awesome-pytorch-list and see what are their differences.

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Data-Science-Resources Awesome-pytorch-list
2 2
62 14,952
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1.1 0.0
3 months ago 3 months ago
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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.

Data-Science-Resources

Posts with mentions or reviews of Data-Science-Resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.
  • I have a 43% in my Python class. Can someone lead me to resources to do better?
    2 projects | /r/learnpython | 16 Feb 2023
    I used to teach data science at General Assembly and the first week was Python. I curated a bunch of tutorials that I noticed I kept sending my students. I tried to organize and divide it into topics as much as possible (for example, tutorials specific to control flow, and then specific to "for" loops, etc.). Check it out - https://github.com/AdiBro/Data-Science-Resources/blob/master/Programming-Languages/Python.md
  • Where to practice python ?
    1 project | /r/learnpython | 8 Mar 2021
    I have a repository of curated data science and machine learning resources, I also have a page for Python, including different websites you can use to practice Python. Check it out - https://github.com/AdiBro/Data-Science-Resources/blob/master/Programming-Languages/Python.md#websites-to-practice-pythoncoding

Awesome-pytorch-list

Posts with mentions or reviews of Awesome-pytorch-list. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-19.

What are some alternatives?

When comparing Data-Science-Resources and Awesome-pytorch-list you can also consider the following projects:

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊

awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

awesome-codex - A list dedicated to products, demos and articles related to 🤖 OpenAI's Codex.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic

3D-Machine-Learning - A resource repository for 3D machine learning

awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.

build-your-own-x - Master programming by recreating your favorite technologies from scratch.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

es-theme-super-arcade1up-5x4 - Super Arcade1Up Theme ( for 5:4 Screens )