Papers with Code Reviews and details

Social recommendations and mentions

• Computer Vision Made Simple with ReductStore and Roboflow

  An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / 7 months ago

• Show HN: Simple Science – The Newest Science Explained Simply

  I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / 9 months ago

• Essential Deep Learning Checklist: Best Practices Unveiled

  Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / 11 months ago

• Understanding Technical Research Papers

  Papers With Code is one of the good resources to get you to get started. - Source: dev.to / about 1 year ago

• Ask HN: Is there a data set for GitHub repos associated with academic papers?

  For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / over 1 year ago

• Ask HN: AI/ML papers to catch up with current state of AI?

  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 / over 1 year ago

• Ask HN: Daily practices for building AI/ML skills?

  And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / over 1 year ago

• New to AGI research! - Theoretical approach

  Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: over 1 year ago

• How to Use AI/ML Models for Your Projects

  Open Source Models: The internet has countless open-source AI models for various tasks. Most of the relevant models can be found in Paper With Code site (​​https://paperswithcode.com/). Find the one that fits your requirements, tweak it, and deploy. - Source: dev.to / over 1 year ago

• Ask HN: Which sources cover AI developments without falling for the hype?

  That's a good one, and in a similar vein there's https://paperswithcode.com/ from facebook/meta that tracks papers and their accompanying github repos, along with their benchmark results. - Source: Hacker News / over 1 year ago

• Show HN: Bulletpapers – ArXiv AI paper summarizer, won Anthropic Hackathon

  Reminds me of the more ML specific https://paperswithcode.com/. - Source: Hacker News / over 1 year ago

• Python Development Services : Pros & Cons

  These days, there are frequent updates in AI; the latest sensation is the emergence of ChatGPT. It took the AI application to a whole new level. One can look at the latest updates by following a website https://paperswithcode.com/. It contains newly published papers, and one can also get the implementation for rapid prototyping. Click to know more. Source: almost 2 years ago

• Medicine is plagued by untrustworthy clinical trials. How many studies are faked

  There should be a paperswithdata for medicine like there is a https://paperswithcode.com/ for data science. - Source: Hacker News / almost 2 years ago

• Help a newbie :)

  There are way more important papers as well, you need to get used to skim over them, one website I like is https://paperswithcode.com. Source: almost 2 years ago

• [D] How to keep track of latest hot papers? (What happened to papers.bar / labml.ai / paperswithcode)?

  What do you mean it's gone? https://paperswithcode.com/. Source: almost 2 years ago

• Any good and easy to implement algorithm for blood vessel segmentation on MATLAB or Python?

  I've been looking on paperswithcode.com for an algorithm, however, none of them are easy to start using. I get so lost in the packages to install (which in turn require other dependencies and so on). Source: almost 2 years ago

• Questions on writing a CS paper

  There’s some variation by field. Machine learning has this repository: https://paperswithcode.com/ . I’ve also seen people give a GitHub link in the text. Overall, I’d advise you consult with someone who’s an expert in the specific algorithm you’re working on. They’d be able to advise you on things like where to submit the manuscript and about standards of the community, and they’d probably be interested in your... Source: almost 2 years ago

• [D] Where can I find a list of the foundational academic papers in RL/ML/DL and what are your go-to places to find new academic papers in RL/ML/DL?

  Papers with code is also a good place to find popular papers sorted by category. Source: almost 2 years ago

• Paper reproducibility as a way to improve my github

  This sounds really good, I will give it a try, I imagine the best way to find this kind of paper is with https://paperswithcode.com/. Source: almost 2 years ago

• Masters thesis about improving an implementation

  As a side note, if you put it on github link it to the paper on https://paperswithcode.com/ There's a lot of alternative implementations of papers and they're often useful for people learning. Source: almost 2 years ago

• How do you guys keep up with all the major developments in the field?

  I usually scroll through something like paperswithcode.com to check out things in my field of interests. I also watch videos like "weekly ML news" on youtube where people talk about major developments in ML. Source: almost 2 years ago