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SemanticScholar VS Papers with Code

Compare SemanticScholar VS Papers with Code and see what are their differences

SemanticScholar logo SemanticScholar

An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease.

Papers with Code logo Papers with Code

The latest in machine learning at your fingerprints
  • SemanticScholar Landing page
    Landing page //
    2023-10-14
  • Papers with Code Landing page
    Landing page //
    2022-07-17

SemanticScholar videos

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Papers with Code videos

The best site for research papers with codes on Machine/Deep Learning | Research paper search

More videos:

  • Review - Papers With Code Machine Learning Papers and Code Free Resource

Category Popularity

0-100% (relative to SemanticScholar and Papers with Code)
Research Tools
100 100%
0% 0
AI
0 0%
100% 100
Information Organization
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Papers with Code seems to be a lot more popular than SemanticScholar. While we know about 97 links to Papers with Code, we've tracked only 3 mentions of SemanticScholar. 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.

SemanticScholar mentions (3)

  • AI tools for literature review
    Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: 6 months ago
  • Is there a SciHub of Databases?
    I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: almost 3 years ago
  • [N] Semantic Scholar introduces Semantic Reader, An AI-Powered Augmented Scientific Reading Application
    Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: about 3 years ago

Papers with Code mentions (97)

  • 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 / 3 days ago
  • Understanding Technical Research Papers
    Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 2 months 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 / 6 months 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 / 6 months 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 / 6 months ago
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What are some alternatives?

When comparing SemanticScholar and Papers with Code, you can also consider the following products

Google Scholar - Google Scholar is a freely accessible web search engine that indexes the full text of scholarly...

ML5.js - Friendly machine learning for the web

ResearchGate - Access scientific knowledge, and make your research visible

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Scopus - Scopus is a bibliographic database containing abstracts and citations for academic journal articles.

Lobe - Visual tool for building custom deep learning models