diff --git a/.circleci/config.yml b/.circleci/config.yml
index 497d82f..bd5451a 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -19,7 +19,7 @@ jobs:
             conda update --yes --quiet conda
             conda create -n testenv --yes --quiet python=3
             source activate testenv
-            conda install --yes pip numpy scipy scikit-learn matplotlib sphinx sphinx_rtd_theme numpydoc pillow keras pandas
+            conda install --yes pip numpy scipy scikit-learn matplotlib sphinx sphinx_rtd_theme numpydoc pillow keras pandas tensorflow imblearn
             pip install sphinx-gallery
             pip install .
             cd doc
diff --git a/doc/change_log.rst b/doc/change_log.rst
index ebc1222..8dcea6f 100644
--- a/doc/change_log.rst
+++ b/doc/change_log.rst
@@ -1,6 +1,10 @@
 Change Log
 ==========
 
+Version 1.1.0
+
+* Support for imbalanced-learn resamplers by Matthias Gazzari
+
 Version 1.0.9
 
 * allows for vector targets, to support one-hot or multi-label encoding
diff --git a/examples/plot_model_selection2.py b/examples/plot_model_selection2.py
index 1405399..2a00932 100644
--- a/examples/plot_model_selection2.py
+++ b/examples/plot_model_selection2.py
@@ -10,9 +10,10 @@
 # License: BSD
 
 import matplotlib.pyplot as plt
-from keras.layers import Dense, LSTM, Conv1D
-from keras.models import Sequential
-from keras.wrappers.scikit_learn import KerasClassifier
+from tensorflow.python.keras.layers import Dense, LSTM, Conv1D
+from tensorflow.python.keras.models import Sequential
+from tensorflow.python.keras.wrappers.scikit_learn import KerasClassifier
+
 from sklearn.model_selection import GridSearchCV
 
 from seglearn.datasets import load_watch
diff --git a/examples/plot_nn_training_curves.py b/examples/plot_nn_training_curves.py
index 2aa3b59..29230d2 100644
--- a/examples/plot_nn_training_curves.py
+++ b/examples/plot_nn_training_curves.py
@@ -11,9 +11,9 @@
 
 import matplotlib.pyplot as plt
 import numpy as np
-from keras.layers import Dense, LSTM, Conv1D
-from keras.models import Sequential
-from keras.wrappers.scikit_learn import KerasClassifier
+from tensorflow.python.keras.layers import Dense, LSTM, Conv1D
+from tensorflow.python.keras.models import Sequential
+from tensorflow.python.keras.wrappers.scikit_learn import KerasClassifier
 from pandas import DataFrame
 from sklearn.model_selection import train_test_split
 
diff --git a/examples/plot_segment_rep.py b/examples/plot_segment_rep.py
index 57f1de5..324f5bd 100644
--- a/examples/plot_segment_rep.py
+++ b/examples/plot_segment_rep.py
@@ -11,9 +11,9 @@
 
 import matplotlib.image as mpimg
 import matplotlib.pyplot as plt
-from keras.layers import Dense, LSTM, Conv1D
-from keras.models import Sequential
-from keras.wrappers.scikit_learn import KerasClassifier
+from tensorflow.python.keras.layers import Dense, LSTM, Conv1D
+from tensorflow.python.keras.models import Sequential
+from tensorflow.python.keras.wrappers.scikit_learn import KerasClassifier
 from sklearn.model_selection import train_test_split
 
 from seglearn.datasets import load_watch
diff --git a/seglearn/_version.py b/seglearn/_version.py
index 64a2795..ff1068c 100644
--- a/seglearn/_version.py
+++ b/seglearn/_version.py
@@ -1 +1 @@
-__version__ = "1.0.10"
\ No newline at end of file
+__version__ = "1.1.0"
\ No newline at end of file