Analyze and visualize data with various statistical methods
Browse and filter AI model evaluation results
Explore how datasets shape classifier biases
Explore token probability distributions with sliders
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Transfer GitHub repositories to Hugging Face Spaces
Browse and submit evaluation results for AI benchmarks
Label data for machine learning models
Display CLIP benchmark results for inference performance
Browse LLM benchmark results in various categories
Browse and filter LLM benchmark results
Explore tradeoffs between privacy and fairness in machine learning models
Explore and analyze RewardBench leaderboard data
AMKAPP is a data visualization and analysis tool designed to help users explore, analyze, and visualize data efficiently. It leverages advanced statistical methods to provide meaningful insights from complex datasets. With a user-friendly interface, AMKAPP aims to simplify the process of transforming raw data into actionable information.
• Data Import: Supports multiple data formats for easy import.
• Interactive Visualizations: Creates dynamic charts, graphs, and plots.
• Statistical Analysis: Includes tools for regression, correlation, and hypothesis testing.
• Real-Time Collaboration: Allows teams to work together on projects.
• Export Options: Saves visualizations in various formats like PNG, PDF, and CSV.
• Tutorials and Guides: Provides built-in resources for learning.
• Multi-Language Support: Available in multiple languages for global accessibility.
What file formats does AMKAPP support?
AMKAPP supports CSV, Excel, JSON, and other common data formats.
Can AMKAPP handle advanced statistical analysis?
Yes, AMKAPP offers tools for regression, correlation, and hypothesis testing, making it suitable for advanced statistical analysis.
Is AMKAPP available on multiple platforms?
Yes, AMKAPP is available on Windows, macOS, and Linux, ensuring accessibility across different operating systems.