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Papers with Code VS Browser Use

Compare Papers with Code VS Browser Use and see what are their differences

Papers with Code logo Papers with Code

The latest in machine learning at your fingerprints

Browser Use logo Browser Use

Make websites accessible for agents
  • Papers with Code Landing page
    Landing page //
    2022-07-17
Not present

Papers with Code features and specs

  • Open Access
    Papers with Code provides free access to a vast repository of research papers and code implementations, making cutting-edge research available to a wider audience.
  • Reproducibility
    By linking research papers with their corresponding code, it promotes reproducibility, allowing researchers to verify results and build upon previous work more effectively.
  • Benchmarking
    The platform offers benchmarking tools and leaderboards, facilitating the comparison of different models and approaches on standard datasets and fostering competition in the research community.
  • Community Engagement
    Researchers and developers can contribute their own code and evaluations, which encourages community collaboration and the sharing of knowledge.
  • Resource Saving
    By providing implementations and datasets, it saves researchers time and resources, enabling them to focus on innovation rather than recreating existing work.

Possible disadvantages of Papers with Code

  • Quality Control
    Not all code implementations are thoroughly vetted or peer-reviewed, which can lead to issues with code quality and reliability.
  • Misalignment of Benchmarks
    Benchmarks and evaluations might not perfectly align with certain niche or novel research tasks, potentially skewing perceptions about model performance.
  • Dependence on Contributor Participation
    The platform relies heavily on community contributions; if participation wanes, the updates and breadth of resources could stagnate.
  • Integration Challenges
    Integrating and adapting third-party code into different environments or existing projects can sometimes be challenging due to dependencies or compatibility issues.
  • Information Overload
    With a vast amount of available papers and code, navigating and finding the most relevant and high-quality resources can be overwhelming for users.

Browser Use features and specs

No features have been listed yet.

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

Browser Use videos

Browser Use: FREE AI Agent CAN CONTROL BROWSERS & DO ANYTHING! (Beats Anthropic!)

Category Popularity

0-100% (relative to Papers with Code and Browser Use)
AI
87 87%
13% 13
Developer Tools
77 77%
23% 23
Data Science And Machine Learning
AI Tools
0 0%
100% 100

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 Browser Use. While we know about 99 links to Papers with Code, we've tracked only 3 mentions of Browser Use. 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 with Code mentions (99)

  • 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 / 8 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
View more

Browser Use mentions (3)

  • Build Your First Open Source AI Agent
    At the core of the AI agent is the integration of the open-source Python library from Browser Use. This library empowers the agent to perform a variety of tasks by simulating browser actions. Whether it’s navigating to a restaurant’s website to book a table or accessing the CRM to track customer engagements, Browser Use provides the necessary tools for the agent to interact with web resources effectively. - Source: dev.to / 26 days ago
  • Show HN: Superglue – open-source API connector that writes its own code
    Have you looked at Browser Use? https://browser-use.com/. - Source: Hacker News / 2 months ago
  • Launch HN: Browser Use (YC W25) – open-source web agents
    Hey HN, we’re Gregor and Magnus, the founders of browser-use (https://browser-use.com/) and we have what is the biggest open-source community for browser agents. And now we have a cloud offering—hence our Launch HN today! Check out this video to see it in action: https://preview.screen.studio/share/r1h4DuAk. There are lots more demos at https://github.com/browser-use/browser-use) and have since been addressing... - Source: Hacker News / 2 months ago

What are some alternatives?

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

ML5.js - Friendly machine learning for the web

DeepMind - We're committed to solving intelligence, to advance science and humanity.

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

Neural Networks and Deep Learning - Core concepts behind neural networks and deep learning

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

OpenAI - GPT-3 access without the wait