Lilly Tech Systems
Learn Papers With Code
Master the world's largest repository of AI research papers with code implementations. Learn to find state-of-the-art models, track benchmark leaderboards, explore datasets, and reproduce cutting-edge results from top conferences.
Your Learning Path
Follow these lessons in order to master Papers With Code for your AI research workflow.
1. Introduction
What is Papers With Code? The platform overview, why it matters for AI research, and how to get started.
2. Navigating the Site
Search strategies, filtering papers, finding implementations, trending papers, and the newsletter.
3. Benchmarks
Understanding SOTA tracking, leaderboards, benchmark categories, and evaluating model performance.
4. Datasets
Exploring the dataset repository, finding the right data, dataset cards, and licensing considerations.
5. Methods
The methods taxonomy, understanding architectures, components, and finding method implementations.
6. Best Practices
Reproducing results, contributing to the platform, staying current with research, and workflow tips.
What You'll Learn
By the end of this course, you'll be able to:
Find Any Paper
Quickly locate research papers with working code implementations across all AI domains.
Track SOTA
Monitor state-of-the-art results on benchmarks and understand leaderboard rankings.
Explore Datasets
Discover and evaluate datasets for your research and machine learning projects.
Reproduce Results
Successfully reproduce paper results using provided code and best practices.