Browse and submit evaluation results for AI benchmarks
Visualize amino acid changes in protein sequences interactively
Analyze and compare datasets, upload reports to Hugging Face
Build, preprocess, and train machine learning models
Make RAG evaluation dataset. 100% compatible to AutoRAG
Explore and submit NER models
Explore speech recognition model performance
Analyze and visualize Hugging Face model download stats
Gather data from websites
Display server status information
Generate plots for GP and PFN posterior approximations
Submit evaluations for speaker tagging and view leaderboard
Explore tradeoffs between privacy and fairness in machine learning models
Leaderboard is a comprehensive data visualization tool designed to help users browse and submit evaluation results for AI benchmarks. It serves as a platform for researchers and developers to compare and analyze performance metrics of various AI models, enabling informed decision-making and fostering innovation.
What types of AI models can I find on Leaderboard?
Leaderboard supports a wide range of AI models, including but not limited to natural language processing, computer vision, and reinforcement learning models.
Can I filter results by specific datasets?
Yes, Leaderboard allows users to filter results by dataset, enabling more targeted comparisons and analyses.
How often is the Leaderboard updated?
The Leaderboard is updated in real-time as new benchmark results are submitted and verified.