Awesome ML Visualization

A curated list of awesome ML Visualization frameworks, libraries and software (by language). This list is inspired from Awesome Machine Learning, and extends it with more visualization-focused links.

Table of Contents

• Python
  • Data Exploration
  • Feature Engineering
  • Machine Learning
  • Deep Learning
• TypeScript
  • Data Exploration

Python

Data Exploration

• 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 Engineering

• feature-selector - Feature selector is a tool for dimensionality reduction of machine learning datasets

Machine Learning

• scikit-plot - An intuitive library to add plotting functionality to scikit-learn objects.

Deep Learning

• 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.

TypeScript

Data Exploration

• Facets - Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.