A Python package to run WizMap in your computational notebooks.
Project description
WizMap
Exploring and interpreting large embeddings in your browser!
🚀 Live Demo | 📺 Demo Video |
What is WizMap?
WizMap is a scalable interactive visualization tool to help you easily explore large machine learning embeddings. With a novel multi-resolution embedding summarization method and a familiar map-like interaction design, WizMap allows you to navigate and interpret embedding spaces with ease.
Web Demo
For a live web demo, visit: https://poloclub.github.io/wizmap.
Get Started
Clone or download this repository:
git clone git@github.com:poloclub/wizmap.git
Install the dependencies:
npm install
Then run WizMap:
npm run dev
Navigate to localhost:3000. You should see WizMap running in your browser :)
Use My Dataset
To use WizMap with your dataset, you can check out this notebook to see how to create three JSON files to set up WizMap. These three JSON files contain pre-computed embedding summaries, embedding distributions, and original embedding data in a streamable format.
Credits
WizMap is created by Jay Wang, Fred Hohman, and Polo Chau.
License
The software is available under the MIT License.
Contact
If you have any questions, feel free to open an issue or contact Jay Wang.
Project details
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