diff --git a/.github/workflows/windows-arm64-wheels.yml b/.github/workflows/windows-arm64-wheels.yml
index 8e23ea4..aa34d0c 100644
--- a/.github/workflows/windows-arm64-wheels.yml
+++ b/.github/workflows/windows-arm64-wheels.yml
@@ -3,7 +3,7 @@ name: Build Windows ARM64 wheels
 on: [push]
 
 env:
-  MLPACK_COMMIT: 4.4.0
+  MLPACK_COMMIT: 4.5.0
   CIBW_TEST_COMMAND: python -c 'import mlpack; import numpy as np; x = np.random.rand(100, 10); o = mlpack.pca(input_=x, new_dimensionality=5, verbose=True)'
 
 jobs:
@@ -87,9 +87,6 @@ jobs:
           git clone https://github.com/mlpack/mlpack
           cd mlpack
           git checkout $MLPACK_VERSION
-          sed -i.bk 's/${PACKAGE_VERSION}/${PACKAGE_VERSION}.post1/g' src/mlpack/bindings/python/setup.py.in
-          rm -f src/mlpack/bindings/python/setup.py.in.bk
-          patch -p1 < ../numpy2.patch
 
       - name: Generate setup.py
         shell: powershell
diff --git a/Jenkinsfile b/Jenkinsfile
index d4fe487..6050d7a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -5,7 +5,7 @@ pipeline
 
   environment
   {
-    MLPACK_VERSION = '4.4.0'
+    MLPACK_VERSION = '4.5.0'
     TWINE_PYPI_TOKEN = credentials('twine-pypi-token')
   }
 
@@ -23,12 +23,6 @@ pipeline
           cd mlpack/
           git checkout $MLPACK_VERSION
 
-          # Temporary patch: increment build number.
-          sed -i.bk 's/${PACKAGE_VERSION}/${PACKAGE_VERSION}.post1/g' src/mlpack/bindings/python/setup.py.in
-          rm -f src/mlpack/bindings/python/setup.py.in.bk
-          # Apply patches.
-          patch -p1 < ../numpy2.patch
-
           mkdir build/
           cd build/
           cmake -DBUILD_PYTHON_BINDINGS=ON ../
diff --git a/azure-pipelines-macos-steps.yml b/azure-pipelines-macos-steps.yml
index a164147..f6caccd 100644
--- a/azure-pipelines-macos-steps.yml
+++ b/azure-pipelines-macos-steps.yml
@@ -11,10 +11,6 @@ steps:
       git clone https://github.com/mlpack/mlpack
       cd mlpack
       git checkout $(MLPACK_VERSION)
-      sed -i.bk 's/${PACKAGE_VERSION}/${PACKAGE_VERSION}.post1/g' src/mlpack/bindings/python/setup.py.in
-      rm -f src/mlpack/bindings/python/setup.py.in.bk
-      # Apply patches.
-      patch -p1 < ../numpy2.patch
     displayName: Clone mlpack
 
   - bash: |
diff --git a/azure-pipelines-windows-steps.yml b/azure-pipelines-windows-steps.yml
index fe5227a..0c0bba7 100644
--- a/azure-pipelines-windows-steps.yml
+++ b/azure-pipelines-windows-steps.yml
@@ -53,10 +53,6 @@ steps:
       git clone https://github.com/mlpack/mlpack
       cd mlpack
       git checkout $(MLPACK_VERSION)
-      sed -i.bk 's/${PACKAGE_VERSION}/${PACKAGE_VERSION}.post1/g' src/mlpack/bindings/python/setup.py.in
-      rm -f src/mlpack/bindings/python/setup.py.in.bk
-      # Apply patches.
-      patch -p1 < ../numpy2.patch
     displayName: Clone mlpack
 
   - powershell: |
diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index 9e0bf77..d65a9f1 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -62,7 +62,7 @@ jobs:
   timeoutInMinutes: 0 # No limit for build time.
   pool: {vmImage: 'macOS-14'}
   variables:
-    MLPACK_VERSION: 4.4.0
+    MLPACK_VERSION: 4.5.0
     CIBW_TEST_COMMAND: python -c 'import mlpack; import numpy as np; x = np.random.rand(100, 10); o = mlpack.pca(input_=x, new_dimensionality=5, verbose=True)'
     # The PYPI_TOKEN variable is automatically set by Azure Pipelines.
     TWINE_PYPI_TOKEN: $(PYPI_TOKEN)
@@ -163,7 +163,7 @@ jobs:
   timeoutInMinutes: 0 # No limit for build time.
   pool: {vmImage: 'windows-2019'}
   variables:
-    MLPACK_VERSION: 4.4.0
+    MLPACK_VERSION: 4.5.0
     # The PYPI_TOKEN variable is automatically set by Azure Pipelines.
     TWINE_PYPI_TOKEN: $(PYPI_TOKEN)
   steps:
diff --git a/numpy2.patch b/numpy2.patch
deleted file mode 100644
index c56bde8..0000000
--- a/numpy2.patch
+++ /dev/null
@@ -1,14 +0,0 @@
---- mlpack-4.4.0/src/mlpack/bindings/python/mlpack/matrix_utils.py	2024-05-28 16:08:34.000000000 -0400
-+++ mlpack/src/mlpack/bindings/python/mlpack/matrix_utils.py	2024-07-24 17:22:50.872603391 -0400
-@@ -160,7 +160,10 @@
-       dims = len(x)
- 
-     d = np.zeros([dims])
--    out = np.array(x, dtype=dtype, copy=copy) # Try to avoid copy...
-+    if np.lib.NumpyVersion(np.__version__) >= '2.0.0b1':
-+      out = np.array(x, dtype=dtype, copy=(True if copy else None))
-+    else:
-+      out = np.array(x, dtype=dtype, copy=copy)
- 
-     # Since we don't have a great way to check if these are using the same
-     # memory location, we will probe manually (ugh).