https://github.com/MilesCranmer/awesome-ml-demos

Curated list of interactive ML demos
https://github.com/MilesCranmer/awesome-ml-demos

List: awesome-ml-demos

awesome awesome-list interactive javascript lists machine-learning resources visualization

Last synced: 11 days ago
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Curated list of interactive ML demos

• Host: GitHub
• URL: https://github.com/MilesCranmer/awesome-ml-demos
• Owner: MilesCranmer
• Created: 2023-09-18T09:29:15.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-11-21T23:44:40.000Z (12 months ago)
• Last Synced: 2024-05-22T11:10:43.227Z (6 months ago)
• Topics: awesome, awesome-list, interactive, javascript, lists, machine-learning, resources, visualization
• Homepage:
• Size: 10.7 KB
• Stars: 329
• Watchers: 9
• Forks: 12
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Awesome Machine Learning Demos [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of interactive demonstrations in machine learning and ML-adjacent topics

- Probabilistic techniques

  - Chi Feng's MCMC demo [[code]](https://github.com/chi-feng/mcmc-demo) [[demo]](https://chi-feng.github.io/mcmc-demo/app.html)

  - Yarin Gal's MC Dropout Visualization [[code]](https://github.com/yaringal/DropoutUncertaintyDemos) [[demo]](https://www.cs.ox.ac.uk/people/yarin.gal/website/blog_3d801aa532c1ce.html)

- Multi-layer perceptrons

  - TensorFlow neural network playground [[code]](https://github.com/tensorflow/playground) [[demo]](https://playground.tensorflow.org/)

- Convolutional neural networks

  - Adam Harley's CNN visualizations [[code]](https://github.com/aharley/nn_vis) [[demo]](https://adamharley.com/nn_vis/)

  - Zijie Wang et al.'s CNN explainer [[code]](https://github.com/poloclub/cnn-explainer) [[demo]](https://poloclub.github.io/cnn-explainer/)

  - OpenAI Microscope [[demo]](https://microscope.openai.com/models)

- Unsupervised learning and preprocessing

  - K-means clustering [[demo]](https://www.naftaliharris.com/blog/visualizing-k-means-clustering/)