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A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has a simple set of features that can be composed for various use-cases. The UI begins as a blank slate, you can populate it with plots, images, and text. These appear in windows that you can drag, drop, resize, and destroy. The windows live in envs and the state of envs is stored across sessions. You can download the content of windows, including your plots in svg.
Features
- From the main page it is possible to toggle between different environments using the environment selector
- You can use the eraser button to remove all of the current contents of an environment
- You can use the filter to dynamically sift through windows present in an env
- It is possible to manage the views simply by dragging the tops of windows around
- We have wrapped several common plot types to make creating basic visualizations easily
- From the UI you can also draw a lasso around a subset of features
Project Samples
