Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-ml-visualization

Curated list of awesome ML Visualization Libraries
https://github.com/xhluca/awesome-ml-visualization

  • visualize_ML - Python package to visualize some processes involved in Machine learning.
  • Dive - Semi-automated visualization and statistical analysis features into a unified workflow
  • feature-selector - Feature selector is a tool for dimensionality reduction of machine learning datasets
  • scikit-plot - An intuitive library to add plotting functionality to scikit-learn objects.
  • tdb - Interactive, node-by-node debugging and visualization for TensorFlow
  • Pastalog - Simple, realtime visualization of neural network training performance.
  • Phoenix - Open Source ML Observability library designed for the Notebook to visualize complex LLM decision-making.
  • Facets - Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.