diff --git a/example_files/01_testfile.py b/example_files/01_testfile.py
index 9e740614b056c879ef659118c26c208af3c37685..ca033a59bedec20cb75a6d835d6615d37b4cd8fe 100644
--- a/example_files/01_testfile.py
+++ b/example_files/01_testfile.py
@@ -2,8 +2,8 @@
 
 import numpy as np
 from matplotlib import pyplot as plt
-from vkoga_2l import kernels, tkernels
-from vkoga_2l.vkoga_2L import VKOGA_2L
+from vkoga_2L import kernels, tkernels
+from vkoga_2L.vkoga_2L import VKOGA_2L
 
 np.random.seed(1)
 
diff --git a/vkoga_2L/vkoga_2L.py b/vkoga_2L/vkoga_2L.py
index cb72558414110cb7cffdb353d1ed20e5a7407f86..0894d85276914dde6ef88471e02945e0d6758699 100644
--- a/vkoga_2L/vkoga_2L.py
+++ b/vkoga_2L/vkoga_2L.py
@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 
-from vkoga_2l.kernels import Matern
+from vkoga_2L.kernels import Matern
 import numpy as np
 from sklearn.base import BaseEstimator
 from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
 from scipy.spatial import distance_matrix
 import torch
-from vkoga_2l.utilities import OptimizedKernel
+from vkoga_2L.utilities import OptimizedKernel
 
 
 # VKOGA implementation