Papers with Code | An application platform that provides machine learning papers, code, datasets, and evaluation tools

Oct 11, 2024#Papers with Code #机器学习 #资源平台 #评估工具 #数据集165

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The text discusses "Papers with Code," a platform that provides access to machine learning papers, code, datasets, and evaluation tools. Key features include: - Links between papers and open-source code for academic and practical applications. - Benchmark datasets and evaluation tables for comparing algorithm performance. - Community contributions allowing users to submit code implementations and results. - Competition results can be shared on the platform for visibility and tracking. The author finds the platform valuable for learning, especially for newcomers, and reflects on the importance of exploring website features for unexpected discoveries.

Share an application platform that provides machine learning papers, code, datasets, and evaluation tools, Papers with Code。

Features include:

Paper and code links: Users can find related open-source code by searching for papers, connecting academic research with practical applications.
Datasets and evaluation tables: The platform provides benchmark datasets and evaluation tables for various tasks, making it easy to compare algorithm performance and results.
Community contributions and editing: Anyone can submit code implementations, add tasks, or evaluation results through the edit button, promoting knowledge sharing.
Competition result sharing: Competition organizers can mirror competition results to the platform, making it easy to showcase and track.

It seems very interesting (~~it can better help with group meetings~~), and like kaggle, it is a valuable learning resource for newcomers like me.

I found that I actually clicked on this website while searching for InfoNCE and contrastive learning, but I only realized how many features this site has when I received a push from the video platform. It seems that clicking on the about section or checking the homepage while browsing search results is a good habit; you might find surprises.