ECG_GAN_MBD.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "ECG-GAN-MBD.ipynb",
      "provenance": [],
      "mount_file_id": "1RdoM3P5AfuQttuqNU3FDCsgLU6jmyVco",
      "authorship_tag": "ABX9TyPsjNfLI4S2WGXGkLXN58yh",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tylerfeldman321/GANs-for-Medical-Data/blob/main/ECG_GAN_MBD.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Tew10qmk2oGt"
      },
      "outputs": [],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd \"/content/drive/MyDrive/MUSER\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yX0P_lyFbISg",
        "outputId": "48031d2c-3057-4da5-93c4-d7e1de7e034b"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/MyDrive/MUSER\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/tylerfeldman321/ECG_GAN_MBD.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JsM8asidbOw2",
        "outputId": "afae06b6-4c75-4fe2-c9a0-02ced4e91cde"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'ECG_GAN_MBD'...\n",
            "remote: Enumerating objects: 34, done.\u001b[K\n",
            "remote: Counting objects: 100% (3/3), done.\u001b[K\n",
            "remote: Compressing objects: 100% (3/3), done.\u001b[K\n",
            "remote: Total 34 (delta 0), reused 2 (delta 0), pack-reused 31\u001b[K\n",
            "Unpacking objects: 100% (34/34), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "st-3ydpQbblh"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}