Display a Bokeh plot
Filter and view AI model leaderboard data
Predict linear relationships between numbers
Analyze and visualize your dataset using AI
Display and analyze PyTorch Image Models leaderboard
Browse and explore datasets from Hugging Face
Browse and compare Indic language LLMs on a leaderboard
Cluster data points using KMeans
Explore tradeoffs between privacy and fairness in machine learning models
Evaluate model predictions and update leaderboard
Generate synthetic dataset files (JSON Lines)
Build, preprocess, and train machine learning models
Analyze data to generate a comprehensive profile report
Bloom Tokens is a data visualization tool designed to help users create and display Bokeh plots with ease. It serves as a user-friendly interface for generating interactive and web-based visualizations, making data exploration more accessible and engaging.
• Bokeh Plotting: Utilizes the Bokeh library to create interactive visualizations. • Web-Based Interaction: Generates plots that can be easily shared and viewed in web browsers. • Customization Options: Allows users to tailor plot designs to suit their needs. • Ease of Use: Simplifies the process of creating complex visualizations. • Integration Capabilities: Works seamlessly with various data sources and tools.
pip install bloom-tokens.What is Bloom Tokens?
Bloom Tokens is a tool that simplifies the creation of interactive Bokeh visualizations, providing an intuitive interface for data exploration.
How do I get started with Bloom Tokens?
Begin by installing Bloom Tokens using pip, then import it into your project to start creating your visualizations.
Why should I use Bokeh plots?
Bokeh plots offer interactive features and web-based viewing, enhancing data analysis and sharing capabilities.