diff --git a/.github/workflows/bots.yml b/.github/workflows/bots.yml
index 3b4aba7..25db9c6 100644
--- a/.github/workflows/bots.yml
+++ b/.github/workflows/bots.yml
@@ -24,20 +24,20 @@ jobs:
         os: [ubuntu-latest, macOS-latest]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v3
     - name: macos
       if: matrix.os == 'macOS-latest'
-      run: echo "Nothing to install"
+      run: brew install ninja
 
     - name: linux
       if: matrix.os == 'ubuntu-latest'
-      run: sudo apt-get update && sudo apt-get install xorg-dev libglu1-mesa-dev 
+      run: sudo apt-get update && sudo apt-get install xorg-dev libglu1-mesa-dev ninja-build
 
 
     - name: Configure CMake
       # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
       # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
-      run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}}
+      run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}} -G Ninja
 
     - name: Build
       # Build your program with the given configuration
diff --git a/README.md b/README.md
index 6a90137..4882d83 100644
--- a/README.md
+++ b/README.md
@@ -5,12 +5,12 @@
 ## Practicals
 
 1. Color Transfer via Discrete Optimal Transport using the sliced
-   approach: [[Note]](https://codimd.math.cnrs.fr/s/s_rh7X9wF), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/1-SlicedOptimalTransport)
+   approach: [[Note]](https://codimd.math.cnrs.fr/s/s_rh7X9wF)
 2. Bilateral Filtering (and sliced optimal transport again) [[Notes]](https://codimd.math.cnrs.fr/s/lPZt_4ybn)
 3. Rasterization, z-Buffer and Winding Numbers: [[Note]](https://codimd.math.cnrs.fr/s/1L-PBLbFW)
 4. 3d modeling: [[Note]](https://codimd.math.cnrs.fr/s/4HjiHCH9z)
 5. Geometry Processing: Laplacian Smoothing and Tutte Embedding
-   [[Note]](https://codimd.math.cnrs.fr/s/97oyynV5t), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/4-LaplacianSmoothing)
-6. Geometry Processing: Discrete Differential Operators on Meshes and Dirichlet Problems [[Note]](https://codimd.math.cnrs.fr/s/QMfjkgib2), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/5-GeomProcessing)
-7. Monte Carlo Geometry Processing [[Note]](https://codimd.math.cnrs.fr/s/b5SRBDUf0), [[Code]](https://github.com/dcoeurjo/CGDI-Practicals/tree/main/6-MonteCarloGeometryProcessing)
+   [[Note]](https://codimd.math.cnrs.fr/s/97oyynV5t)
+6. Geometry Processing: Discrete Differential Operators on Meshes and Dirichlet Problems [[Note]](https://codimd.math.cnrs.fr/s/QMfjkgib2)
+7. Monte Carlo Geometry Processing [[Note]](https://codimd.math.cnrs.fr/s/b5SRBDUf0)
 8. kd-Tree and MC Geometry Processing -bis-  [[Note]](https://codimd.math.cnrs.fr/s/TSPaU97gu)