Linked different implementations of ENet

README.md

@@ -7,10 +7,17 @@ This work has been published in arXiv: [`ENet: A Deep Neural Network Architectur
 * [train](train) contains tools for training network using various architectures. It can be further used for visulaization of network's performance. This section is mainly for pixelwise segmentation and scene-parsing.
 * [visualize](visualize) can be used to view the performance of trained network on any video/image as an overlay. (Will be added soon)
 
-## trained model
+## Trained model
 
 Find a train model here: https://www.dropbox.com/sh/dywzk3gyb12hpe5/AAD5YkUa8XgMpHs2gCRgmCVCa
 
+## Implementation in other frameworks:
+
+* [In Caffe](https://github.com/TimoSaemann/ENet) by [TimoSaemann](https://github.com/TimoSaemann)
+* [In Keras](https://github.com/PavlosMelissinos/enet-keras) by [PavlosMelissinos](https://github.com/PavlosMelissinos)
+
+Thank you for your contribution.
+We have not verified results of the above two implementations but still we feel that researchers working on these different frameworks might find it useful.
 
 ### License