From 1c86477b2b792449c898cb48aedb0631a0708534 Mon Sep 17 00:00:00 2001 From: Iain Date: Mon, 22 Dec 2025 16:30:18 -0500 Subject: [PATCH] checkout correct repo --- .../Notebook08_UNets_PyTorch.ipynb | 71 ++++++++----------- 1 file changed, 29 insertions(+), 42 deletions(-) diff --git a/colab_notebooks/Notebook08_UNets_PyTorch.ipynb b/colab_notebooks/Notebook08_UNets_PyTorch.ipynb index eaf86bc..b295c85 100644 --- a/colab_notebooks/Notebook08_UNets_PyTorch.ipynb +++ b/colab_notebooks/Notebook08_UNets_PyTorch.ipynb @@ -1,15 +1,5 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, { "cell_type": "markdown", "metadata": { @@ -42,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -91,12 +81,10 @@ } ], "source": [ - "#@title Install and unpack files [this will take some time]\n", - "\n", + "# Install and unpack files [this will take some time]\n", "print('installing dependencies')\n", "!pip -q install zenodo-get\n", "!pip -q install zarr\n", - "# Note: We are removing the keras-unet-collection install as we will implement UNet in PyTorch manually\n", "print('grabbing sub-sevir')\n", "!zenodo_get 7011372\n", "print('unpacking sub-sevir')\n", @@ -105,8 +93,8 @@ "!tar -xf sub-sevir/sub-sevir-val.tar.gz -C sub-sevir/\n", "!tar -xf sub-sevir/sub-sevir-test.tar.gz -C sub-sevir/\n", "print('grabbing the Github repo')\n", - "!git clone https://github.com/ai2es/WAF_ML_Tutorial_Part2.git\n", - "print('done')\n" + "!git clone https://github.com/ssec/WAF_ML_Tutorial_Part2.git\n", + "print('done')" ] }, { @@ -124,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -196,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "id": "D2ldW9wxWIXZ" }, @@ -314,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "id": "3uUHGmceWIXZ" }, @@ -347,7 +335,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "id": "dPB1W6_aWIXb" }, @@ -405,7 +393,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "id": "ca6JduBbWIXc" }, @@ -418,7 +406,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -512,7 +500,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -677,7 +665,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -744,7 +732,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -833,7 +821,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -917,7 +905,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -973,7 +961,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1062,7 +1050,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { "id": "PKkRFd2hWIXg" }, @@ -1081,7 +1069,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": { "id": "2oxUUkLhWIXg" }, @@ -1125,7 +1113,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1205,7 +1193,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": { "id": "oZJObUj1WIXh" }, @@ -1219,7 +1207,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1264,7 +1252,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1320,7 +1308,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1416,7 +1404,7 @@ "id": "7zN9Dr4nWaRC", "outputId": "67f8c8c0-f22e-4b44-965a-6163dc202526" }, - "execution_count": 22, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -1480,7 +1468,7 @@ "id": "SYJb35PlW-VY", "outputId": "7dc57abd-f62f-4c4b-c034-507e3de22e85" }, - "execution_count": 32, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -1575,7 +1563,7 @@ "id": "XjdLGzUoeulg", "outputId": "df681a0e-ef7c-42f8-eefd-f7e25c2f3ec1" }, - "execution_count": 33, + "execution_count": null, "outputs": [ { "output_type": "display_data", @@ -1639,7 +1627,7 @@ "height": 1000 } }, - "execution_count": 35, + "execution_count": null, "outputs": [ { "output_type": "display_data", @@ -1680,8 +1668,7 @@ }, "colab": { "provenance": [], - "gpuType": "T4", - "include_colab_link": true + "gpuType": "T4" }, "kernelspec": { "name": "python3", @@ -1691,4 +1678,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} +} \ No newline at end of file