This repository is a curated list of interactive machine learning demonstrations, aimed at researchers and practitioners seeking to visualize and understand ML concepts. It provides direct links to code and live demos for various probabilistic techniques, neural networks, and unsupervised learning algorithms.

How It Works

The project acts as a central index, aggregating links to external, often independently developed, interactive ML visualizations. It categorizes these demos by ML topic, allowing users to quickly find visual explanations for concepts like MCMC, Gaussian Processes, CNNs, and K-means clustering.

Quick Start & Requirements

No installation is required. Users can directly access the interactive demos via provided web links.

Highlighted Details

• Covers a range of ML topics from probabilistic methods to deep learning.
• Includes links to both code repositories and live, interactive demos.
• Features visualizations for concepts like MCMC, Gaussian Processes, and CNNs.

Maintenance & Community

This appears to be a static list with no active development or community engagement indicated in the provided README.

Licensing & Compatibility

The licensing information is not specified in the README.

Limitations & Caveats

The repository is a curated list and does not host the demos themselves, meaning the availability and functionality of the linked demos are dependent on their original creators.