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https://github.com/mossr/plutonotebooks

Random Pluto notebooks in Julia
https://github.com/mossr/plutonotebooks

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Random Pluto notebooks in Julia

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# PlutoNotebooks
Random Pluto notebooks in Julia.

## Honerable Mentions / WIPs
[![xkcd](https://img.shields.io/badge/pluto-xkcd%20grids--n--marbles-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/xkcd-grids-n-marbles.html)

[![d-separation](https://img.shields.io/badge/pluto-d--separation-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/d_separation.html)

[![sub2ind](https://img.shields.io/badge/pluto-subscript%20and%20linear%20indexing-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/subscript_and_linear_indexing.html)

[![policy gradient](https://img.shields.io/badge/pluto-policy%20gradient%20estimation-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/policy_gradient_estimation.html)

[![pizza](https://img.shields.io/badge/pluto-pizza%20meme%20🍕-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/pizza_meme.html)

[![pumpkin](https://img.shields.io/badge/pluto-pumpkin%20🎃-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/pumpkin.html)

## Gaussian processes

[![Gaussian processes](https://img.shields.io/badge/pluto-gaussian%20processes-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/gaussian_processes.html)



## Importance sampling

[![Importance sampling](https://img.shields.io/badge/pluto-importance%20sampling-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/importance_sampling.html)
Univariate | Multivariate
:---------------:|:----:
|

## Value iteration

[![Value iteration](https://img.shields.io/badge/pluto-value%20iteration-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/value_iteration.html)



## The EM algorithm

[![EM algorithm](https://img.shields.io/badge/pluto-em%20algorithm-00505c)](https://htmlview.glitch.me/?https://github.com/mossr/PlutoNotebooks/blob/master/html/em_algorithm.html)



## Gibbs sampling

[![Gibbs sampling](https://img.shields.io/badge/pluto-gibbs%20sampling-00505c)](https://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/gibbs_sampling.html)



## Beta distribution and Thompson sampling

[![Beta distribution](https://img.shields.io/badge/pluto-beta%20distribution-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/beta.html)



## Dirichlet distribution

[![Dirichlet distribution](https://img.shields.io/badge/pluto-dirichlet%20distribution-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/dirichlet.html)



## Nearest neighbor

[![Nearest neighbor](https://img.shields.io/badge/pluto-nearest%20neighbor-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/nearest_neighbor.html)



## K-means clustering

[![K-means clustering](https://img.shields.io/badge/pluto-k--means%20clustering-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/k_means_clustering.html)



## Deep learning
[![Neural network](https://img.shields.io/badge/pluto-deep%20learning-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/deep_learning.html)

Multi-layer neural network with regularization, from scratch.



## Autoencoder
[![Autoencoder](https://img.shields.io/badge/pluto-flux%20autoencoder-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/mnist_autoencoder.html)

Autoencoder applied to MNIST using `Flux.jl`.



## Neural network classifier
[![Neural network classifier](https://img.shields.io/badge/pluto-flux%20classifier-00505c)](http://htmlview.glitch.me/?https://raw.githubusercontent.com/mossr/PlutoNotebooks/master/html/mnist_mlp.html)

Multi-layer perceptron classifier for MNIST using `Flux.jl`.











## Markov decision processes
[![https://img.shields.io/badge/pluto-work%20in%20progress-orange](https://img.shields.io/badge/pluto-work%20in%20progress-orange)](https://github.com/mossr/PlutoNotebooks)

⟨𝒮, 𝒜, 𝑅, 𝑇, γ⟩