Merge branch 'main' of https://github.com/SkafteNicki/dtu_mlops

Author: SkafteNicki

.github/workflows/check_docs.yaml

@@ -26,7 +26,7 @@ jobs:
         run: uv run mkdocs build -d build --strict
 
       - name: Upload docs
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: docs
           path: build

.github/workflows/code_formatting.yml

@@ -14,7 +14,9 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v6
+      - name: Checkout code
+        uses: actions/checkout@v6
+
       - name: Set up Python
         uses: actions/setup-python@v6
         with:
@@ -28,10 +30,8 @@ jobs:
       - name: Sync dependencies
         run: uv sync
 
-      - name: ruff check
-        run: |
-          uv run ruff check .
+      - name: Ruff check
+        run: uv run ruff check .
 
-      - name: ruff format
-        run: |
-          uv run ruff format .
+      - name: Ruff format
+        run: uv run ruff format .

.github/workflows/pre_commit.yaml

@@ -22,3 +22,14 @@ jobs:
 
     - name: Install pre-commit
       uses: pre-commit/action@v3.0.1
+#      with: 
+#        continue-on-error: true
+
+#    - name: List modified files
+#      run: git diff --name-only
+
+#    - name: Commit changes
+#      uses: stefanzweifel/git-auto-commit-action@v5
+#      with:
+#        commit_message: Pre-commit fixes
+#        commit_options: '--no-verify'

.github/workflows/repo_scraper.yml

@@ -28,5 +28,4 @@ jobs:
       - name: Run repo scraper
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          python tools/repo_stats/scraper.py
+        run: python tools/repo_stats/scraper.py

.github/workflows/update_pre_commit.yaml

@@ -4,7 +4,7 @@ name: Pre-commit auto-update
 
 on:
   schedule:
-    - cron: '0 0 * * 0'
+    - cron: '0 0 * * 0' # Runs every Sunday at 00:00 UTC
   workflow_dispatch: {}  # Allows manual executions
 
 permissions:
@@ -15,7 +15,8 @@ jobs:
   auto-update:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v6
+      - name: Checkout code
+        uses: actions/checkout@v6
 
       - name: Install uv
         uses: astral-sh/setup-uv@v7
@@ -29,7 +30,7 @@ jobs:
         run: uv run pre-commit autoupdate
 
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           branch: update/pre-commit-autoupdate

.pre-commit-config.yaml

@@ -14,7 +14,7 @@ repos:
       - id: detect-private-key
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.14.10
+    rev: v0.14.11
     hooks:
       - id: ruff
         args: ["--fix", "--unsafe-fixes"]

README.md

@@ -11,12 +11,12 @@
 ## ℹ️ Course information
 
 * Course responsible
-    * Postdoc [Nicki Skafte Detlefsen](https://skaftenicki.github.io/), <nsde@dtu.dk>
+    * Associate Professor [Nicki Skafte Detlefsen](https://skaftenicki.github.io/), <nsde@dtu.dk>
     * Professor [Søren Hauberg](http://www2.compute.dtu.dk/~sohau/), <sohau@dtu.dk>
 * 5 ECTS (European Credit Transfer System), corresponding to 140 hours of work
 * 3 week period in January
 * Master level course
-* Grade: Pass/not passed
+* Grade: Pass/Fail
 * Type of assessment: project report
 * Recommended prerequisites: DTU course [02456 (Deep Learning)](https://kurser.dtu.dk/course/02456) or
     experience with the following topics:

pages/overview.md

@@ -43,6 +43,6 @@ a different stack of tools that better fits your needs. Regardless of the stack,
 | ![Run](../figures/icons/run.png){ width="50" } | For more complex deployments of our code we can use **Cloud run** that allows us to run our code in response to events through docker containers |
 | ![Locust](../figures/icons/locust.png){ width="50" } | For load testing our deployed model we can use **Locust** |
 | ![Monitor](../figures/icons/monitoring.png){ width="50" } | **Cloud monitoring** gives us the tools to keep track of important logs and errors from the other cloud services |
-| ![Evidently](../figures/icons/evidentlyai.png){ width="50" } | For monitoring our deployed model is experiencing any drift we can use **Evidently AI** that provides a framework and dashboard for monitoring drift |
+| ![Evidently](../figures/icons/evidentlyai.png){ width="50" } | To monitor whether our deployed model is experiencing any drift, we can use **Evidently AI**, which provides a framework and dashboard for drift monitoring |
 | ![Telemetry](../figures/icons/opentelemetry.png){ width="50" } | For monitoring the telemetry of our deployed model we can use **OpenTelemetry** that provides a standard for collecting and exporting telemetry data |
 <!-- markdownlint-restore -->

pages/projects.md

@@ -229,8 +229,8 @@ checklist for the exam. The parenthesis at the end indicates what module the bul
 
 ## Exam
 
-From January 2025 the exam only consist of a project report. The report should be handed in at midnight on the final day
-of the course. For January 2025, this means the 24th. We provide template folder called
+From January 2026 the exam only consist of a project report. The report should be handed in at midnight on the final day
+of the course. For January 2026, this means the 23th. We provide template folder called
 [reports](https://github.com/SkafteNicki/dtu_mlops/tree/main/reports). As the first task you should copy the folder and
 all its content to your project repository. Then, you job is to fill out the `README.md` file which contains the report
 template. The file itself contains instructions on how to fill it out and instructions on using the included `report.py`

s1_development_environment/README.md

@@ -4,26 +4,26 @@
 
 <div class="grid cards" markdown>
 
-- ![](../figures/icons/terminal.png){align=right : style="height:100px;width:100px"}
+- ![Terminal icon](../figures/icons/terminal.png){align=right : style="height:100px;width:100px"}
 
     Learn the basics of the command line, and how to use it to navigate your file system and run programs.
 
     [:octicons-arrow-right-24: M1: Command line](command_line.md)
 
-- ![](../figures/icons/conda.png){align=right : style="height:100px;width:100px"}
+- ![Conda icon](../figures/icons/conda.png){align=right : style="height:100px;width:100px"}
 
     Learn how package managers work in Python and how to create reproducible virtual environments using
     `conda` and `pip`.
 
     [:octicons-arrow-right-24: M2: Package Manager](package_manager.md)
 
-- ![](../figures/icons/vscode.png){align=right : style="height:100px;width:100px"}
+- ![VS Code icon](../figures/icons/vscode.png){align=right : style="height:100px;width:100px"}
 
     Learn how to use a modern editor for code development.
 
     [:octicons-arrow-right-24: M3: Editor](editor.md)
 
-- ![](../figures/icons/pytorch.png){align=right : style="height:100px;width:100px"}
+- ![PyTorch icon](../figures/icons/pytorch.png){align=right : style="height:100px;width:100px"}#
 
     Refresh your PyTorch skills and implement a simple deep-learning model.