diff --git a/pretrainedmodels/models/dpn.py b/pretrainedmodels/models/dpn.py
index bd70000..19bcd83 100644
--- a/pretrainedmodels/models/dpn.py
+++ b/pretrainedmodels/models/dpn.py
@@ -252,14 +252,14 @@ def __init__(
         self.num_1x1_c = num_1x1_c
         self.inc = inc
         self.b = b
-        if block_type is 'proj':
+        if block_type == 'proj':
             self.key_stride = 1
             self.has_proj = True
-        elif block_type is 'down':
+        elif block_type == 'down':
             self.key_stride = 2
             self.has_proj = True
         else:
-            assert block_type is 'normal'
+            assert block_type == 'normal'
             self.key_stride = 1
             self.has_proj = False
 
diff --git a/pretrainedmodels/models/wideresnet.py b/pretrainedmodels/models/wideresnet.py
index 6300ee7..ab846ec 100644
--- a/pretrainedmodels/models/wideresnet.py
+++ b/pretrainedmodels/models/wideresnet.py
@@ -35,7 +35,7 @@ def group(input, params, base, stride, n):
         return o
 
     # determine network size by parameters
-    blocks = [sum([re.match('group%d.block\d+.conv0.weight'%j, k) is not None
+    blocks = [sum([re.match(r'group%d.block\d+.conv0.weight'%j, k) is not None
                    for k in params.keys()]) for j in range(4)]
 
     def f(input, params, pooling_classif=True):