Machine Learning. Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
3.1M members. The best post we have captured here reached 8.6K upvotes, which works out to 3 per 1,000 members.
Open r/MachineLearning on Reddit ↗
The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
The biggest posts we have captured here. Links go to the original on Reddit.
[Project] From books to presentations in 10s with AR + ML
[D] A Demo from 1993 of 32-year-old Yann LeCun showing off the World's first Convolutional Network for Text Recognition
[D] This AI reveals how much time politicians stare at their phone at work
[R] First Order Motion Model applied to animate paintings
[N] AI can turn old photos into moving Images / Link is given in the comments - You can also turn your old photo like this
[D] Types of Machine Learning Papers
I made a robot that punishes me if it detects that if I am procrastinating on my assignments [P]
[D] The machine learning community has a toxicity problem
[Project] NEW PYTHON PACKAGE: Sync GAN Art to Music with "Lucid Sonic Dreams"! (Link in Comments)
[P] Using oil portraits and First Order Model to bring the paintings back to life
Within four times the member count either way, so the comparison is fair. Sorted by upside.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.
Start free →Every figure here is what ViralHunt has captured from r/MachineLearning, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.