After testing the release

README.md

@@ -25,7 +25,7 @@ torchvision >= 0.2.1
 - ResNet (['Deep Residual Learning for Image Recognition'](https://arxiv.org/abs/1512.03385))
 - PreResNet (['Identity Mappings in Deep Residual Networks'](https://arxiv.org/abs/1603.05027))
 - DenseNet (['Densely Connected Convolutional Networks'](https://arxiv.org/abs/1608.06993))
-- CondenseNet (['Condense````Net: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224))
+- CondenseNet (['CondenseNet: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224))
 - DarkNet (['Darknet: Open source neural networks in c'](https://github.com/pjreddie/darknet)) 
 - SqueezeNet (['SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size'](https://arxiv.org/abs/1602.07360))
 - SqueezeNext (['SqueezeNext: Hardware-Aware Neural Network Design'](https://arxiv.org/abs/1803.10615))

gluon/models/model_store.py

@@ -47,7 +47,6 @@
     ('menet348_12x1_g3', '1141', 'ac69b246629131d77bf5a0a454bda28f5c2e6bc0', 'v0.0.6'),
     ('menet352_12x1_g8', '1375', '85779b8a576540ec1082a433bd5ea1ab93def27a', 'v0.0.6'),
     ('menet456_24x1_g3', '1043', '6e777068761f9c45cd0527f3824ad3b5cf36b0b5', 'v0.0.6'),
-
     ('mobilenet_wd4', '2410', 'db312a26033119ad1601fe0300e7c52a11cba93c', 'v0.0.7'),
     ('mobilenet_wd2', '1537', '5419ccc26dedfbb7242e2f4f7c52b13f94812099', 'v0.0.7'),
     ('mobilenet_w3d4', '1228', 'dc11727a3917f2c795c9f286ad9cf299a165fe85', 'v0.0.7'),

pytorch/models/model_store.py

@@ -48,7 +48,6 @@
     ('menet348_12x1_g3', '1092', '66be1a1896fa0bea27290580e8b98057dfdbda2c', 'v0.0.6'),
     ('menet352_12x1_g8', '1308', 'e91ec72ce2d0c3c2bf2a3cba6719c6b23ea7c736', 'v0.0.6'),
     ('menet456_24x1_g3', '0993', 'cb9fd37660b6064f44a6c779a330a967b2b41c2d', 'v0.0.6'),
-
     ('mobilenet_wd4', '2493', 'c05b5fab876300552b1c9b58d82ff98eb755c15b', 'v0.0.7'),
     ('mobilenet_wd2', '1599', '5883b38d611897bf4b1b49d9eeded2d1868c5c0a', 'v0.0.7'),
     ('mobilenet_w3d4', '1285', 'b8022faebe280b6e6571bec3a4bb6e293895a72d', 'v0.0.7'),