Papers with Code

What is Papers with Code?

Papers with Code is a platform for tracking the latest AI and machine learning research. It provides a daily feed of trending academic papers, complete with code implementations and benchmark results. Users rely on it to discover state-of-the-art models, datasets, and frameworks directly from the research community. It serves as a centralized hub to stay updated on rapid progress across fields like speech synthesis, financial trading, and video understanding.

Application scenarios

Academic Research: Quickly discovering the latest peer-reviewed papers and their associated open-source code.
Model Development: Finding and implementing state-of-the-art architectures and frameworks for new projects.
Benchmarking: Evaluating new models against current performance metrics on standardized tasks.
Industry R&D: Tracking applied research from organizations like Microsoft Research and Netflix for practical innovation.
Staying Informed: Getting a curated daily or weekly digest of trending work to monitor the field's evolution.

Main features

Daily Trending Papers Feed: Receive a daily email digest highlighting the most upvoted and discussed research papers.
Integrated Code Access: Directly access public GitHub repositories linked to the research papers for immediate implementation.
Paper Metadata: View key details for each paper including authors, affiliated organizations, publication date, and links to arXiv.
Community Voting: See how many upvotes a paper has received from the platform's community as a signal of interest or impact.
State-of-the-art Tracking: Monitor progress on specific tasks through dedicated pages that rank models by performance.
Multi-format Updates: Browse trending papers filtered by daily, weekly, or monthly timeframes.
Direct Submission: The research community, including individuals and teams, can submit their own papers and code to the platform.

Target users

This tool is built for professionals and enthusiasts who need to stay at the forefront of machine learning. Primary users include AI researchers, machine learning engineers, data scientists, and academic students. It also benefits technical leads and R&D teams in tech companies who must integrate the latest advancements into products and strategies.

How to use Papers with Code?

Using the platform is straightforward. Visit the official website to browse the latest trending papers. You can filter the feed to show daily, weekly, or monthly trends. To get updates delivered, subscribe with your email to receive the daily trending papers digest. For any paper, you can click through to its GitHub repository for code or its arXiv page for the full manuscript. To dive deeper into a specific task, navigate to its dedicated "state-of-the-art" results page.

Effect review

Papers with Code consolidates the dispersed landscape of AI research into a single, actionable stream. The direct linkage of papers to their code repositories is its most practical feature, significantly reducing the barrier from research concept to experimentation. The inclusion of community upvotes and organizational affiliations provides useful context for assessing a paper's relevance. For anyone needing to efficiently track the cutting edge, the platform delivers a consistently updated and technically substantive feed.