Papers We Love
Academus
Flash Cards: Math
Arxiv Vanity
Allpapers
Offshore Leaks Database
The Panama Papers Mapped
FlashTabs
Papers with Code
ML5.js
Amazon Machine Learning
Machine Learning Playground
arXiv
Lobe
mlblocks
Spell
Papers We Love Papers with CodeBased on our record, Papers with Code seems to be a lot more popular than Papers We Love. While we know about 96 links to Papers with Code, we've tracked only 9 mentions of Papers We Love. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info. - Source: dev.to / 4 months ago
You might be interested in https://paperswelove.org. Source: 12 months ago
Public Service Announcement. Reading research papers is so important for your growth and career, please put in a process to do it at least once in a month or two. (I will try to write a blog post about why it is important, and how to go about it, since I see there is a big need for this.) Papers We Love is a great resource, https://paperswelove.org/, if you like to get involved in a community to dip your feet into... - Source: Hacker News / about 1 year ago
Want to make sure you’re aware of https://paperswelove.org/. Source: about 1 year ago
It’s not a subreddit, but check out https://paperswelove.org/. My local group is great. Source: about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 11 days ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 5 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 5 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months ago
Academus - Read research papers as interactive webpages
ML5.js - Friendly machine learning for the web
Flash Cards: Math - Simple and effective math flash cards
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Arxiv Vanity - Read academic papers from arXiv as responsive web pages
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
