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Add Colab link to tutorials (#620)
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* add colab link

* update link

* add google colab badge
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sarahmish authored Feb 26, 2025
1 parent 31d205c commit e673841
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11 changes: 10 additions & 1 deletion tutorials/Convert_NASA_Data_to_Orion_Format.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/notebook-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1kJRmrb8ONg7vLMhdeCiP3aNntPCn8vZk?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1kJRmrb8ONg7vLMhdeCiP3aNntPCn8vZk?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"metadata": {},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
"version": "3.10.15"
}
},
"nbformat": 4,
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25 changes: 24 additions & 1 deletion tutorials/Convert_UCR_Data_to_Orion_Format.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "34ffe5a3-f269-4630-af59-05af2f656400",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/notebook-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1QsYjUX3DgS8ccvDtxEgLeHHmbtPViIqV?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1QsYjUX3DgS8ccvDtxEgLeHHmbtPViIqV?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"id": "f48bfa5b-05ca-493e-a892-0eff6dbcb4a6",
"metadata": {},
"source": [
"# Convert UCR data to Orion format\n",
"\n",
"In this notebook we download the data and reformat it\n",
"as Orion pipelines expect.\n",
"\n",
"### Download the data"
]
},
{
"cell_type": "code",
"execution_count": 1,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
"version": "3.10.15"
}
},
"nbformat": 4,
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19 changes: 13 additions & 6 deletions tutorials/Evaluating_an_Orion_Pipeline.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1DZX5GDDP99gUlGLBos1sKwpapi8PQTIv?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1DZX5GDDP99gUlGLBos1sKwpapi8PQTIv?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"metadata": {},
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{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [
{
"name": "stderr",
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],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
"version": "3.10.15"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
11 changes: 10 additions & 1 deletion tutorials/Orion_on_Custom_Data.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1oYTqKe7GGIgvB7VffH0xllg77zUBpd7S?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1oYTqKe7GGIgvB7VffH0xllg77zUBpd7S?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"metadata": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
"version": "3.10.15"
}
},
"nbformat": 4,
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11 changes: 10 additions & 1 deletion tutorials/Orion_with_Multivariate_Input.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1kOcfkr054oQkxxXUv9HlZbAk1QluFBjY?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1kOcfkr054oQkxxXUv9HlZbAk1QluFBjY?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"metadata": {},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.16"
"version": "3.10.15"
}
},
"nbformat": 4,
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13 changes: 11 additions & 2 deletions tutorials/tulog/Tulog.ipynb
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@@ -1,5 +1,14 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue&link=https%3A%2F%2Fcolab.research.google.com%2Fdrive%2F1TVNK6HroahDeFFl06oOFYISt5JLLSSLO)](https://colab.research.google.com/drive/1TVNK6HroahDeFFl06oOFYISt5JLLSSLO?usp=drive_link)\n",
"\n",
"### We recommend using the [Google Colab](https://colab.research.google.com/drive/1TVNK6HroahDeFFl06oOFYISt5JLLSSLO?usp=drive_link) verion of the notebook!"
]
},
{
"cell_type": "markdown",
"metadata": {},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.16"
"version": "3.10.15"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}

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