Merge branch 'main' of github.com:shensquared/gradML

.github/workflows/deployment.yml

@@ -0,0 +1,35 @@
+name: Deploy
+
+on:
+  push:
+    branches:
+      - main
+      - dev
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Execute Commands on Remote Server
+      run: |
+          mkdir -p ~/.ssh
+          echo "${{ secrets.PUBLIC_KEY }}" > ~/.ssh/id_rsa.pub
+          echo "${{ secrets.SSH_PRIVATE_KEY }}" > ~/.ssh/id_rsa
+          chmod 600 ~/.ssh/id_rsa.pub
+          chmod 600 ~/.ssh/id_rsa
+          ssh -p ${{ secrets.REMOTE_PORT }} -i ~/.ssh/id_rsa -o StrictHostKeyChecking=no ${{ secrets.REMOTE_USER }}@${{ secrets.REMOTE_HOST }} << 'EOF'
+          export PATH="/home/shensquared/.rbenv/bin:$PATH"
+          eval "$(rbenv init -)"
+          if [[ "${{ github.ref }}" == "refs/heads/main" ]]; then
+          cd /home/shensquared/gradML 
+          echo "Running on main branch"
+          git pull origin main
+          bundle exec jekyll build
+          elif [[ "${{ github.ref }}" == "refs/heads/dev" ]]; then
+          cd /home/shensquared/gradML_dev
+          echo "Running on dev branch"
+          git pull origin dev
+          bundle exec jekyll build --config _config.yml,_config_dev.yml
+          fi
+          EOF

Gemfile

@@ -7,10 +7,10 @@ source "https://rubygems.org"
 #
 # This will help ensure the proper Jekyll version is running.
 # Happy Jekylling!
-gem "jekyll", "~> 4.3.2"
+gem "jekyll", "~> 4.3.3"
 # This is the default theme for new Jekyll sites. You may change this to anything you like.
 gem "minima", "~> 2.5"
-gem "jekyll-default-layout"
+gem "jekyll-default-layout", "~> 0.1.5"
 gem "just-the-docs"
 # gem "jekyll-pandoc"
 # If you want to use GitHub Pages, remove the "gem "jekyll"" above and

Gemfile.lock

@@ -1,22 +1,28 @@
 GEM
   remote: https://rubygems.org/
   specs:
-    addressable (2.8.4)
-      public_suffix (>= 2.0.2, < 6.0)
+    addressable (2.8.7)
+      public_suffix (>= 2.0.2, < 7.0)
+    bigdecimal (3.1.8)
     colorator (1.1.0)
-    concurrent-ruby (1.2.2)
+    concurrent-ruby (1.3.4)
     em-websocket (0.5.3)
       eventmachine (>= 0.12.9)
       http_parser.rb (~> 0)
     eventmachine (1.2.7)
-    ffi (1.15.5)
+    ffi (1.17.0-arm64-darwin)
+    ffi (1.17.0-x86_64-linux-gnu)
     forwardable-extended (2.6.0)
-    google-protobuf (3.23.2-arm64-darwin)
-    google-protobuf (3.23.2-x86_64-linux)
+    google-protobuf (4.27.3-arm64-darwin)
+      bigdecimal
+      rake (>= 13)
+    google-protobuf (4.27.3-x86_64-linux)
+      bigdecimal
+      rake (>= 13)
     http_parser.rb (0.8.0)
-    i18n (1.14.1)
+    i18n (1.14.5)
       concurrent-ruby (~> 1.0)
-    jekyll (4.3.2)
+    jekyll (4.3.3)
       addressable (~> 2.4)
       colorator (~> 1.0)
       em-websocket (~> 0.5)
@@ -53,7 +59,7 @@ GEM
     kramdown-parser-gfm (1.1.0)
       kramdown (~> 2.0)
     liquid (4.0.4)
-    listen (3.8.0)
+    listen (3.9.0)
       rb-fsevent (~> 0.10, >= 0.10.3)
       rb-inotify (~> 0.9, >= 0.9.10)
     mercenary (0.4.0)
@@ -63,21 +69,22 @@ GEM
       jekyll-seo-tag (~> 2.1)
     pathutil (0.16.2)
       forwardable-extended (~> 2.6)
-    public_suffix (5.0.1)
+    public_suffix (6.0.1)
     rake (13.0.6)
     rb-fsevent (0.11.2)
-    rb-inotify (0.10.1)
+    rb-inotify (0.11.1)
       ffi (~> 1.0)
-    rexml (3.2.5)
-    rouge (4.1.2)
+    rexml (3.3.5)
+      strscan
+    rouge (4.3.0)
     safe_yaml (1.0.5)
-    sass-embedded (1.63.3-arm64-darwin)
-      google-protobuf (~> 3.23)
-    sass-embedded (1.63.3-x86_64-linux-gnu)
-      google-protobuf (~> 3.23)
+    sass-embedded (1.77.8)
+      google-protobuf (~> 4.26)
+      rake (>= 13)
+    strscan (3.1.0)
     terminal-table (3.0.2)
       unicode-display_width (>= 1.1.1, < 3)
-    unicode-display_width (2.4.2)
+    unicode-display_width (2.5.0)
     webrick (1.8.1)
 
 PLATFORMS
@@ -87,8 +94,8 @@ PLATFORMS
 
 DEPENDENCIES
   http_parser.rb (~> 0.6.0)
-  jekyll (~> 4.3.2)
-  jekyll-default-layout
+  jekyll (~> 4.3.3)
+  jekyll-default-layout (~> 0.1.5)
   jekyll-feed (~> 0.12)
   jekyll-last-modified-at (~> 1.3.2)
   just-the-docs

_sass/custom/staffer.scss

@@ -1,17 +1,17 @@
 .staff-row{
   display: grid;
   grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
-  grid-gap: 20px;
+  grid-gap: 38px;
 }
 
 .staffer {
   display: flex;
-  margin: $sp-4 0;
+  margin: $sp-5 0;
 
   .staffer-image {
     border-radius: 100%;
     height: 100px;
-    margin-right: $sp-4;
+    margin-right: $sp-2;
     width: auto;
 
     // border: 1px solid silver;

index.md

@@ -22,18 +22,19 @@ has_toc: false
 <br>
 
 ## Course sites
+
 <ul>
-<li> For technical questions: Please read/post publicly on <a href="https://piazza.com/class/lzy7kgi6f2n4fs/"><b>Piazza</b></a> 
-<li> For personal or administrative questions: Please post privately on <a href="https://piazza.com/class/lzy7kgi6f2n4fs/"><b>Piazza</b></a>
+<li> For technical questions: Please read/post publicly on <a href="https://piazza.com/class/lzy7kgi6f2n4fs/"><b>Piazza</b></a></li>
+<li> For personal or administrative questions: Please post privately on <a href="https://piazza.com/class/lzy7kgi6f2n4fs/"><b>Piazza</b></a></li>
 <li> For class or section enrollment information: Please check <a href="https://canvas.mit.edu/courses/28217"><b>Canvas</b></a></li>
 </ul>
 
-<br>
 
 ## Course Overview
+
 - Probabilistic foundations of machine learning; offered in fall semesters; 12 units (3-0-9)
 - Prerequisites:
-  - Introductory machine learning (at the level of [6.390](http://introml.mit.edu) or [6.370](http://student.mit.edu/catalog/m6c.html#6.3700) or [6.C01](http://student.mit.edu/catalog/m6e.html#6.C01))
+  - Introductory machine learning (at the level of [6.390](https://introml.mit.edu) or [6.370](http://student.mit.edu/catalog/m6c.html#6.3700) or [6.C01](http://student.mit.edu/catalog/m6e.html#6.C01))
   - Linear algebra (at the level of [18.06](https://github.com/mitmath/1806) or [18.C06](https://canvas.mit.edu/courses/16629))
   - Probability (at the level of [6.3700](https://ocw.mit.edu/courses/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/pages/readings/), [6.3800](http://student.mit.edu/catalog/m6c.html#6.3800), or [18.600](https://math.mit.edu/~sheffield/spring2022math600.html))
 - Brief description: Probabilistic thinking is critical to understanding machine learning, in techniques ranging from classic linear models to modern deep networks.  We will study model representation, generalization, learning algorithms, and model-selection with mathematical rigor as well as an emphasis on how to apply these methods in applications with real-world consequence.