This article introduces Path-Swarm and Super-Swarm, new techniques for creating swarm charts using circle arrangements for data visualization. The author, Nick Gerend, discusses two primary swarm techniques and some extensions for rapid visual exploration of data. Written for Towards Data Science.
eplot is an Emacs package for generating time series charts, plots and bar charts interactively.
One of the items on my todo list was: IMG » IMG »
And that's because I've been looking for an easy way to do simple plots for yonks. When I did a post about movie ratings, I tried chart.el:
IMG » IMG »
It's a built-in thing in Emacs that has its origins as a testing tool for eieio, and as such, it is pretty limited. But it basically did what I needed? Except for... man, look at that Y axis. This cannot stand!
And that's because I've been looking for an easy way to do simple plots for yonks. When I did a post about movie ratings, I tried chart.el:
IMG » IMG »
It's a built-in thing in Emacs that has its origins as a testing tool for eieio, and as such, it is pretty limited. But it basically did what I needed? Except for... man, look at that Y axis. This cannot stand!
An overview of the LIDA library, including how to get started, examples, and considerations going forward, with a focus on large language models (LLMs) and image generation models (IGMs) in data visualization and business intelligence.
This comprehensive guide will walk you through everything you need to know to master Tabulate and effectively present your data. Learn about formatting options, handling different data types, customizing table appearance, sorting and filtering data, advanced features, practical examples, and best practices.
Inspectus is a versatile visualization tool for large language models, offering multiple views to provide diverse insights into language model behaviors. It runs in Jupyter notebooks via a Python API and supports visualization of attention maps, token heatmaps, and dimension heatmaps. The library can be installed using pip and provides API documentation and tutorials for Huggingface models and custom attention maps.
A Python-based, open-source visualization tool called Inspectus helps researchers and developers analyze attention patterns in large language models within Jupyter notebooks. It provides an intuitive interface with multiple views, including attention matrices, heatmaps, and dimension heatmaps, to facilitate detailed analysis.
Google has launched Model Explorer, an open-source tool designed to help users navigate and understand complex neural networks. The tool aims to provide a hierarchical approach to AI model visualization, enabling smooth navigation even for massive models. Model Explorer has already proved valuable in the deployment of large models to resource-constrained platforms and is part of Google's broader ‘AI on the Edge’ initiative.
Explore the relationships between 2,235,473 species and discover images on a zoomable page.
