Cyberfeed VS Papers with Code

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

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Papers with Code

The latest in machine learning at your fingerprints

Landing page //
2023-07-31

Landing page //
2022-07-17

Papers with Code

Website: paperswithcode.com

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Cyberfeed features and specs

No features have been listed yet.

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.

Cyberfeed videos

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Papers with Code videos

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

Category Popularity

0-100% (relative to Cyberfeed and Papers with Code)

Papers with Code

13 13%

87% 87

Documentation

100 100%

Documentation

0% 0

Developer Tools

0 0%

Developer Tools

100% 100

Requirements Management

100 100%

Requirements Management

0% 0

User comments

Share your experience with using Cyberfeed and Papers with Code. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Papers with Code seems to be a lot more popular than Cyberfeed. While we know about 99 links to Papers with Code, we've tracked only 1 mention of Cyberfeed. 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.

Cyberfeed mentions (1)

Ask HN: What’s your ChatGPT pet project?
Cyberfeed (https://cyberfeed.io/) – a fully-automated, GPT-powered cybersecurity news aggregation site (uses GPT to summarize news article descriptions) Peloapp (https://peloapp.fly.dev) – displays recent personal records and other entertaining cycling stats from Peloton and includes a GPT-powered daily summary. - Source: Hacker News / about 2 years ago

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