updates to metadata and colab notebook info (#3)

* removed old files * removed older files * updated readme to link to colab notebooks * added runtimes and colab links to notebooks
timsainb · May 14, 2019 · 9f6f428 · 9f6f428
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diff --git a/0.0-Autoencoder-fashion-mnist.ipynb b/0.0-Autoencoder-fashion-mnist.ipynb
@@ -1,26 +1,51 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/timsainb/tensorflow2-generative-models/blob/master/0.0-Autoencoder-fashion-mnist.ipynb)\n",
+    "## Autoencoder (AE) \n",
+    "\n",
+    "A simple autoencoder network.\n",
+    "\n",
+    "![an autoencoder](imgs/ae.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install packages if in colab"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2019-05-13T20:25:33.485257Z",
-     "start_time": "2019-05-13T20:25:33.480589Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "env: CUDA_VISIBLE_DEVICES=1\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "# make visible the only one GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=1"
+    "### install necessary packages if in colab\n",
+    "def run_subprocess_command(cmd):\n",
+    "    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)\n",
+    "    for line in process.stdout:\n",
+    "        print(line.decode().strip())\n",
+    "\n",
+    "\n",
+    "import sys, subprocess\n",
+    "\n",
+    "IN_COLAB = \"google.colab\" in sys.modules\n",
+    "colab_requirements = [\"pip install tf-nightly-gpu-2.0-preview==2.0.0.dev20190513\"]\n",
+    "if IN_COLAB:\n",
+    "    for i in colab_requirements:\n",
+    "        run_subprocess_command(i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### load packages"
    ]
   },
   {
@@ -427,6 +452,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [],
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",

diff --git a/1.0-Variational-Autoencoder-fashion-mnist.ipynb b/1.0-Variational-Autoencoder-fashion-mnist.ipynb
@@ -1,26 +1,54 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/timsainb/tensorflow2-generative-models/blob/master/1.0-Variational-Autoencoder-fashion-mnist.ipynb)\n",
+    "## Variational Autoencoder (VAE) ([article](https://arxiv.org/abs/1312.6114)) \n",
+    "\n",
+    "The original variational autoencoder network,  using [tensorflow_probability](https://github.com/tensorflow/probability)\n",
+    "\n",
+    "![variational autoencoder](imgs/vae.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install packages if in colab"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2019-05-10T19:17:26.655302Z",
-     "start_time": "2019-05-10T19:17:26.651848Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "env: CUDA_VISIBLE_DEVICES=1\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### install necessary packages if in colab\n",
+    "def run_subprocess_command(cmd):\n",
+    "    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)\n",
+    "    for line in process.stdout:\n",
+    "        print(line.decode().strip())\n",
+    "\n",
+    "\n",
+    "import sys, subprocess\n",
+    "\n",
+    "IN_COLAB = \"google.colab\" in sys.modules\n",
+    "colab_requirements = [\n",
+    "    \"pip install tf-nightly-gpu-2.0-preview==2.0.0.dev20190513\",\n",
+    "    \"pip install tfp-nightly==0.7.0.dev20190508\",\n",
+    "]\n",
+    "if IN_COLAB:\n",
+    "    for i in colab_requirements:\n",
+    "        run_subprocess_command(i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "# make visible the only one GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=1"
+    "### load packages"
    ]
   },
   {
@@ -465,6 +493,12 @@
   }
  ],
  "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [],
+   "provenance": [],
+   "toc_visible": true
+  },
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",