awesome-artificial-intelligence-research VS awesome-ml-blogs

Compare awesome-artificial-intelligence-research vs awesome-ml-blogs and see what are their differences.

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awesome-artificial-intelligence-research awesome-ml-blogs
1 1
112 95
- -
0.0 1.8
over 1 year ago almost 2 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-artificial-intelligence-research

Posts with mentions or reviews of awesome-artificial-intelligence-research. We have used some of these posts to build our list of alternatives and similar projects.

awesome-ml-blogs

Posts with mentions or reviews of awesome-ml-blogs. We have used some of these posts to build our list of alternatives and similar projects.
  • Curated list of Machine Learning Blogs
    1 project | /r/learnmachinelearning | 18 Nov 2021
    Hi everyone! 👋 When I stumbled upon new interesting blog posts, I always tried to remember to come back later on to check for new content on the blog. It never worked! Rather than relying on my memory, I decided to have them all in a curated list. Check it out: awesome-ml-blogs.

What are some alternatives?

When comparing awesome-artificial-intelligence-research and awesome-ml-blogs you can also consider the following projects:

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ai-deadlines - :alarm_clock: AI conference deadline countdowns

kaggle-courses - Courses on Kaggle

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.

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

must-read-ai-papers - A collection of must-read AI-related papers

ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

awesome-decision-transformer - A curated list of Decision Transformer resources (continually updated)