# Awesome List of Machine Learning Visualization

Related links:\
🔗 [Awesome List of Data Visualization](https://irosyadi.gitbook.io/irosyadi/data-engineering/data-visualization)\
🔗 [Awesome List of Machine Learning Visualization](https://irosyadi.gitbook.io/irosyadi/machine-learning/ml-visualization)\
🔗 [Awesome List of Interactive and Explorable Webs](https://irosyadi.gitbook.io/irosyadi/webapp/interactive-explorable-web)\
🔗 [Interactive Books](https://irosyadi.gitbook.io/irosyadi/book/interactive-book)

## Machine Learning Visualization

* [Distill Pub](https://distill.pub/) : Visualizing AI algorithms
  * [Activation Atlas](https://distill.pub/2019/activation-atlas/)
  * [Meaning of Weights](https://distill.pub/2020/circuits/zoom-in/)
  * [Feature Visualization](https://distill.pub/2017/feature-visualization/)
* [Open AI Microscope](https://microscope.openai.com/models) : understanding ML models
* [CNN Explainer](https://poloclub.github.io/cnn-explainer/) : interactive CNN explanation
* [TrustMLVis](https://trustmlvis.lnu.se/) TrustMLVis Browser, [A Visual Survey in Enhancing Trust in Machine Learning (ML) Models with Visualization](https://diglib.eg.org/handle/10.1111/cgf14034) License: CC-BY
* [What if Tools](https://pair-code.github.io/what-if-tool/) : Visually probe the behavior of trained machine learning models, with minimal coding.
* [Visualizing a neural network](https://zbendefy.github.io/neuralnet-web/index.html)
* [lutzroeder/netron: Visualizer for neural network, deep learning, and machine learning models](https://github.com/lutzroeder/netron)
* [TensorSpace.js](https://tensorspace.org/)
* [ML and NN Visualization](https://www.theinsaneapp.com/2021/11/machine-learning-algorithms-and-neural-networks-visualization.html)
* [CNN Explain](https://medium.com/@RaghavPrabhu/understanding-of-convolutional-neural-network-cnn-deep-learning-99760835f148)
* [CNN Explain](https://www.cs.ryerson.ca/~aharley/vis/conv/flat.html)
* [Flat Explainer](https://www.cs.ryerson.ca/~aharley/vis/conv/flat.html)
* [Explained](https://towardsdatascience.com/convolutional-neural-networks-explained-9cc5188c4939)
* [CS231n Explanatin](https://cs231n.github.io/convolutional-networks/)