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<docs lang="markdown">
## Porting Arbitrary Style Transfer to the Browser

https://magenta.tensorflow.org/blog/2018/12/20/style-transfer-js/

```
/**
 * Copyright 2018 Google Inc. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.

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import asyncio
import numpy as np
import imageio
from imjoy_rpc import api

class ImJoyPlugin():
    def setup(self):
        api.log('initialized')

    async def run(self, ctx):

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(function($) {
  $.getStylesheet = function (href) {
    var $d = $.Deferred();
    var $link = $('<link/>', {
       rel: 'stylesheet',
       type: 'text/css',
       href: href
    }).appendTo('head');
    $d.resolve($link);
    return $d.promise();

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "VueJSDemo",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "DWV",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "MyFirstPlugin",
  "type": "window",
  "tags": [],
  "ui": "",

oeway

<docs lang="markdown">
## Tiktorch Model Loader for BioImage.io

This is a BioEngine App for running models on https://bioimage.io

</docs>

<config lang="json">
{
    "name": "Tiktorch Model Loader",

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<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "CompareImages",
  "type": "window",
  "tags": [],
  "ui": "",

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<docs lang="markdown">

This plugin allows to visualize results of a classification of protein 
localization patterns from microscope images of the entire HPA cell atlas(v18, 63955 images).  

Classification is performed with the winning approach of a 2018 Kaggle challenge 
(https://www.kaggle.com/c/human-protein-atlas-image-classification). 

Plots shows a UMAP projection (Uniform Manifold Approximation and Projection) calculated from the
last layer of the network (densenet121, dimensions: 1024). Each dot is an image and when clicking on a 

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<docs>
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "Zarr-Demo",
  "type": "iframe",
  "tags": [],
  "ui": "",