From 8dbfa9d4a5acd60da59a3628b1d3b60bf2288f1f Mon Sep 17 00:00:00 2001
From: Elizaveta Semenova <elizaveta.p.semenova@gmail.com>
Date: Wed, 1 Jan 2025 15:03:51 +0400
Subject: [PATCH] update upcoming list

---
 999_upcoming.ipynb | 59 ----------------------------------------------
 999_upcoming.md    | 21 +++++++++++++++++
 _toc.yml           |  2 +-
 3 files changed, 22 insertions(+), 60 deletions(-)
 delete mode 100644 999_upcoming.ipynb
 create mode 100644 999_upcoming.md

diff --git a/999_upcoming.ipynb b/999_upcoming.ipynb
deleted file mode 100644
index a99e52a..0000000
--- a/999_upcoming.ipynb
+++ /dev/null
@@ -1,59 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Upcoming chapters\n",
-    "\n",
-    "Other topics which are covered in the course, but the corresponding chapters are not yet online and are to appear:\n",
-    "\n",
-    "[x] Surrogates\n",
-    "[ ] Neural networks with Flax\n",
-    "[ ] Bayesian neural networks\n",
-    "[ ] So, why Numpyro?\n",
-    "[ ] Variational inference\n",
-    "[ ] Introduction to deep generative models\n",
-    "[ ] Variational autoencoders (VAEs), normalising flows (NFs)\n",
-    "[ ] Deep generative surrogates and PriorCVAE\n",
-    "\n",
-    "Further interesting topics which the course might not have time to cover (but I might add them to the online version in the future):\n",
-    "\n",
-    "- Bayesian regularisation from optimisation perspective\n",
-    "- Laplace approximation\n",
-    "- Bayesian optimisation\n",
-    "- Active learning\n",
-    "- Renewal equation\n",
-    "- Hilbert Space Gaussian Process approximation (HSGP)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  }
- ],
- "metadata": {
-  "colab": {
-   "provenance": []
-  },
-  "kernelspec": {
-   "display_name": "Python 3",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/999_upcoming.md b/999_upcoming.md
new file mode 100644
index 0000000..2c6b9eb
--- /dev/null
+++ b/999_upcoming.md
@@ -0,0 +1,21 @@
+# Upcoming chapters
+
+Other topics which are covered in the course, but the corresponding chapters are not yet online and are to appear:
+
+- [x] Surrogates
+- [ ] Neural networks with Flax
+- [ ] Bayesian neural networks
+- [ ] So, why Numpyro?
+- [ ] Variational inference
+- [ ] Introduction to deep generative models
+- [ ] Variational autoencoders (VAEs), normalising flows (NFs)
+- [ ] Deep generative surrogates and PriorCVAE
+
+Further interesting topics which the course might not have time to cover (but I might add them to the online version in the future):
+
+- Bayesian regularisation from optimisation perspective
+- Laplace approximation
+- Bayesian optimisation
+- Active learning
+- Renewal equation
+- Hilbert Space Gaussian Process approximation (HSGP)
\ No newline at end of file
diff --git a/_toc.yml b/_toc.yml
index 688587d..d121f66 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -30,6 +30,6 @@ chapters:
 - file: 23_ID_modelling.ipynb
 - file: 24_ABMs.ipynb
 - file: 25_surrogates.ipynb
-- file: 999_upcoming.ipynb
+- file: 999_upcoming.md
 - file: 999_acknowledgements.md
 - file: 999_bibliography.md
\ No newline at end of file