Select and analyze data subsets
Predict linear relationships between numbers
Generate plots for GP and PFN posterior approximations
Parse bilibili bvid to aid / cid
Evaluate diversity in data sets to improve fairness
VLMEvalKit Evaluation Results Collection
Explore income data with an interactive visualization tool
Calculate VRAM requirements for running large language models
Generate benchmark plots for text generation models
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Search and save datasets generated with a LLM in real time
Analyze and visualize car data
Life System and Habit Tracker
Selector is a powerful data visualization tool designed to help users select and analyze subsets of data with precision. It simplifies the process of isolating specific data points, enabling deeper insights and more accurate analysis.
• Data Subset Selection: Easily isolate and focus on specific portions of your dataset. • Intuitive Interface: User-friendly design for seamless navigation and analysis. • Customizable Visualizations: Tailor your visualizations to suit your analytical needs. • Integration Capabilities: Works seamlessly with other data tools and platforms. • Multi-Dimensional Analysis: Analyze data across multiple dimensions for comprehensive insights.
What types of data formats does Selector support?
Selector supports a wide range of formats, including CSV, Excel, JSON, and SQL databases.
Can Selector handle real-time data analysis?
Yes, Selector is designed to work with real-time data, enabling dynamic and up-to-date analysis.
Is Selector available on all platforms?
Selector is available as a web-based application and can be accessed on Windows, macOS, and Linux systems.