OpenML
OpenML is an open-source platform for sharing datasets, machine learning experiments, and models. It promotes reproducible research and collaboration by enabling users to explore, compare, and benchmark ML workflows across a wide range of tasks and algorithms.
Key Features
Dataset Repository: Thousands of public datasets with rich metadata and version control.
Benchmarking & Leaderboards: Standardized tasks and automatic comparisons of algorithm performance.
Experiment Tracking: Log and share models, runs, and evaluations across tools and teams.
Tool Integration: Works with scikit-learn, WEKA, R, and more via official APIs.
Community Collaboration: Contribute results, explore others' work, and build on shared experiments.
Example Use Cases
Comparing machine learning models on standardized tasks
Sharing experimental results in academic or enterprise ML projects
Teaching reproducible ML practices in classrooms
Benchmarking custom algorithms across diverse datasets