diff --git a/results/results-all.csv b/results/results-all.csv
index 619444c2..f041acde 100644
--- a/results/results-all.csv
+++ b/results/results-all.csv
@@ -13,20 +13,22 @@ fbnetc_100,75.12,24.88,92.386,7.614,5.57,224,0.875,bilinear
 resnet26,75.292,24.708,92.57,7.43,16,224,0.875,bicubic
 semnasnet_100,75.456,24.544,92.592,7.408,3.89,224,0.875,bicubic
 mobilenetv3_100,75.628,24.372,92.708,7.292,5.48,224,0.875,bicubic
+tf_mixnet_s,75.648,24.352,92.636,7.364,4.13,224,0.875,bicubic
 densenet169,75.912,24.088,93.024,6.976,14.15,224,0.875,bicubic
 tv_resnet50,76.13,23.87,92.862,7.138,25.56,224,0.875,bilinear
 dpn68,76.306,23.694,92.97,7.03,12.61,224,0.875,bicubic
 tf_efficientnet_b0,76.528,23.472,93.01,6.99,5.29,224,0.875,bicubic
 resnet26d,76.68,23.32,93.166,6.834,16.01,224,0.875,bicubic
 efficientnet_b0,76.914,23.086,93.206,6.794,5.29,224,0.875,bicubic
+tf_mixnet_m,76.95,23.05,93.156,6.844,5.01,224,0.875,bicubic
 seresnext26_32x4d,77.1,22.9,93.31,6.69,16.79,224,0.875,bicubic
 densenet201,77.29,22.71,93.478,6.522,20.01,224,0.875,bicubic
 densenet161,77.348,22.652,93.648,6.352,28.68,224,0.875,bicubic
 resnet101,77.374,22.626,93.546,6.454,44.55,224,0.875,bilinear
-inception_v3,77.434,22.566,93.478,6.522,27.16,299,0.875,bicubic
+inception_v3,77.432,22.568,93.478,6.522,27.16,299,0.875,bicubic
 dpn68b,77.514,22.486,93.822,6.178,12.61,224,0.875,bicubic
-adv_inception_v3,77.576,22.424,93.724,6.276,23.83,299,0.875,bicubic
 gluon_resnet50_v1b,77.578,22.422,93.718,6.282,25.56,224,0.875,bicubic
+adv_inception_v3,77.58,22.42,93.724,6.276,23.83,299,0.875,bicubic
 tv_resnext50_32x4d,77.618,22.382,93.698,6.302,25.03,224,0.875,bilinear
 seresnet50,77.636,22.364,93.752,6.248,28.09,224,0.875,bilinear
 tf_inception_v3,77.856,22.144,93.644,6.356,23.83,299,0.875,bicubic
@@ -40,6 +42,7 @@ tf_efficientnet_b1,78.554,21.446,94.098,5.902,7.79,240,0.882,bicubic
 seresnet152,78.658,21.342,94.374,5.626,66.82,224,0.875,bilinear
 efficientnet_b1,78.692,21.308,94.086,5.914,7.79,240,0.882,bicubic
 gluon_resnet50_v1s,78.712,21.288,94.242,5.758,25.68,224,0.875,bicubic
+tf_mixnet_l,78.77,21.23,94.004,5.996,7.33,224,0.875,bicubic
 gluon_inception_v3,78.804,21.196,94.38,5.62,23.83,299,0.875,bicubic
 wide_resnet101_2,78.846,21.154,94.284,5.716,126.89,224,0.875,bilinear
 xception,79.048,20.952,94.392,5.608,22.86,299,0.8975,bicubic
diff --git a/results/results-inv2-matched-frequency.csv b/results/results-inv2-matched-frequency.csv
index 14e85131..04c38e09 100644
--- a/results/results-inv2-matched-frequency.csv
+++ b/results/results-inv2-matched-frequency.csv
@@ -15,7 +15,9 @@ mobilenetv3_100,63.23,36.77,84.52,15.48,5.48,224,0.875,bicubic
 tv_resnet50,63.33,36.67,84.65,15.35,25.56,224,0.875,bilinear
 resnet26,63.45,36.55,84.27,15.73,16,224,0.875,bicubic
 tf_efficientnet_b0,63.53,36.47,84.88,15.12,5.29,224,0.875,bicubic
+tf_mixnet_s,63.59,36.41,84.27,15.73,4.13,224,0.875,bicubic
 dpn68,64.22,35.78,85.18,14.82,12.61,224,0.875,bicubic
+tf_mixnet_m,64.27,35.73,85.09,14.91,5.01,224,0.875,bicubic
 efficientnet_b0,64.58,35.42,85.89,14.11,5.29,224,0.875,bicubic
 resnet26d,64.63,35.37,85.12,14.88,16.01,224,0.875,bicubic
 densenet169,64.78,35.22,85.25,14.75,14.15,224,0.875,bicubic
@@ -34,6 +36,7 @@ gluon_resnet50_v1c,66.54,33.46,86.16,13.84,25.58,224,0.875,bicubic
 adv_inception_v3,66.6,33.4,86.56,13.44,23.83,299,0.875,bicubic
 wide_resnet50_2,66.65,33.35,86.81,13.19,68.88,224,0.875,bilinear
 wide_resnet101_2,66.68,33.32,87.04,12.96,126.89,224,0.875,bilinear
+tf_mixnet_l,66.78,33.22,86.46,13.54,7.33,224,0.875,bicubic
 resnet50,66.81,33.19,87,13,25.56,224,0.875,bicubic
 resnext50_32x4d,66.88,33.12,86.36,13.64,25.03,224,0.875,bicubic
 resnet152,67.02,32.98,87.57,12.43,60.19,224,0.875,bilinear
diff --git a/timm/models/gen_efficientnet.py b/timm/models/gen_efficientnet.py
index d0e6ab43..e7ce31ab 100644
--- a/timm/models/gen_efficientnet.py
+++ b/timm/models/gen_efficientnet.py
@@ -68,7 +68,7 @@ default_cfgs = {
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/fbnetc_100-c345b898.pth',
         interpolation='bilinear'),
     'spnasnet_100': _cfg(
-        url='https://www.dropbox.com/s/iieopt18rytkgaa/spnasnet_100-048bc3f4.pth?dl=1',
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/spnasnet_100-048bc3f4.pth',
         interpolation='bilinear'),
     'efficientnet_b0': _cfg(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/efficientnet_b0-d6904d92.pth'),
diff --git a/timm/models/inception_v3.py b/timm/models/inception_v3.py
index b83895e7..a0ea784f 100644
--- a/timm/models/inception_v3.py
+++ b/timm/models/inception_v3.py
@@ -20,7 +20,7 @@ default_cfgs = {
     },
     # my port of Tensorflow SLIM weights (http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz)
     'tf_inception_v3': {
-        'url': 'https://www.dropbox.com/s/xdh32bpdgqzpx8t/tf_inception_v3-e0069de4.pth?dl=1',
+        'url': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/tf_inception_v3-e0069de4.pth',
         'input_size': (3, 299, 299),
         'crop_pct': 0.875,
         'interpolation': 'bicubic',
@@ -33,7 +33,7 @@ default_cfgs = {
     # my port of Tensorflow adversarially trained Inception V3 from
     # http://download.tensorflow.org/models/adv_inception_v3_2017_08_18.tar.gz
     'adv_inception_v3': {
-        'url': 'https://www.dropbox.com/s/b5pudqh84gtl7i8/adv_inception_v3-9e27bd63.pth?dl=1',
+        'url': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/adv_inception_v3-9e27bd63.pth',
         'input_size': (3, 299, 299),
         'crop_pct': 0.875,
         'interpolation': 'bicubic',
@@ -46,7 +46,7 @@ default_cfgs = {
     # from gluon pretrained models, best performing in terms of accuracy/loss metrics
     # https://gluon-cv.mxnet.io/model_zoo/classification.html
     'gluon_inception_v3': {
-        'url': 'https://www.dropbox.com/s/8uv6wrl6it6394u/gluon_inception_v3-9f746940.pth?dl=1',
+        'url': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/gluon_inception_v3-9f746940.pth',
         'input_size': (3, 299, 299),
         'crop_pct': 0.875,
         'interpolation': 'bicubic',
diff --git a/timm/models/senet.py b/timm/models/senet.py
index 0be9ac96..7ec1c453 100644
--- a/timm/models/senet.py
+++ b/timm/models/senet.py
@@ -36,10 +36,10 @@ default_cfgs = {
     'senet154':
         _cfg(url='http://data.lip6.fr/cadene/pretrainedmodels/senet154-c7b49a05.pth'),
     'seresnet18': _cfg(
-        url='https://www.dropbox.com/s/3o3nd8mfhxod7rq/seresnet18-4bb0ce65.pth?dl=1',
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet18-4bb0ce65.pth',
         interpolation='bicubic'),
     'seresnet34': _cfg(
-        url='https://www.dropbox.com/s/q31ccy22aq0fju7/seresnet34-a4004e63.pth?dl=1'),
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet34-a4004e63.pth'),
     'seresnet50': _cfg(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-cadene/se_resnet50-ce0d4300.pth'),
     'seresnet101': _cfg(
diff --git a/timm/version.py b/timm/version.py
index c3bb2961..850505a3 100644
--- a/timm/version.py
+++ b/timm/version.py
@@ -1 +1 @@
-__version__ = '0.1.8'
+__version__ = '0.1.10'